Fall 2025
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AI Agents Code
AI Agents Code
A course by Elephant AI for coders. Learn only from the best to gain an edge!
This course guides participants through the process of building AI Agents and shows how to combine different components to create effective decision-making systems. It covers advanced topics such as integrating Agents with information retrieval systems and developing multi-agent environments. Participants will learn to assess the performance and efficiency of AI Agent systems. This comprehensive program is designed to equip professionals with the knowledge and skills needed to implement agent-based AI solutions in real-world business contexts.
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Course positively verified by people working for major brands:
Course positively verified by people working for major brands:
Course positively verified by people working for major brands:
Course positively verified by people working for major brands:
Get ready for the course and watch free webinar.
Gold for the Bold. Techniques for Building Research Agents. Solid research is the foundation of both professional and personal success. Watch the webinar recording and see how you can harness the power of AI — without paying for specialized tools!
Get ready for the course and watch free webinar.
Gold for the Bold. Techniques for Building Research Agents. Solid research is the foundation of both professional and personal success. Watch the webinar recording and see how you can harness the power of AI — without paying for specialized tools!
Get ready for the course and watch free webinar.
Gold for the Bold. Techniques for Building Research Agents. Solid research is the foundation of both professional and personal success. Watch the webinar recording and see how you can harness the power of AI — without paying for specialized tools!
Get ready for the course and watch free webinar.
Gold for the Bold. Techniques for Building Research Agents. Solid research is the foundation of both professional and personal success. Watch the webinar recording and see how you can harness the power of AI — without paying for specialized tools!
5+1 weeks of learning together
You learn in a group, not alone. Elephant AI is built on a community that grows together. In addition to LIVE sessions, you’ll take part in daily discussions, Q&As, and knowledge sharing with fellow students.
Trusted by 8000+ people
The second edition of the AI Agents: Tools of the Future™ course: April 28 – June 12, 2025. Join the ambitious Elephant AI community – managers, specialists, and developers from all industries!
Konrad Banachewicz & Special Guests
Kaggle Grandmaster and seasoned Machine Learning expert. He’ll be joined by international guests – global stars of Machine Learning and artificial intelligence.
5+1 weeks of learning together
You learn in a group, not alone. Elephant AI is built on a community that grows together. In addition to LIVE sessions, you’ll take part in daily discussions, Q&As, and knowledge sharing with fellow students.
Trusted by 8000+ people
The second edition of the AI Agents: Tools of the Future™ course: April 28 – June 12, 2025. Join the ambitious Elephant AI community – managers, specialists, and developers from all industries!
Konrad Banachewicz & Special Guests
Kaggle Grandmaster and seasoned Machine Learning expert. He’ll be joined by international guests – global stars of Machine Learning and artificial intelligence.
5+1 weeks of learning together
You learn in a group, not alone. Elephant AI is built on a community that grows together. In addition to LIVE sessions, you’ll take part in daily discussions, Q&As, and knowledge sharing with fellow students.
Trusted by 8000+ people
The second edition of the AI Agents: Tools of the Future™ course: April 28 – June 12, 2025. Join the ambitious Elephant AI community – managers, specialists, and developers from all industries!
Konrad Banachewicz & Special Guests
Kaggle Grandmaster and seasoned Machine Learning expert. He’ll be joined by international guests – global stars of Machine Learning and artificial intelligence.
5+1 weeks of learning together
You learn in a group, not alone. Elephant AI is built on a community that grows together. In addition to LIVE sessions, you’ll take part in daily discussions, Q&As, and knowledge sharing with fellow students.
Trusted by 8000+ people
The second edition of the AI Agents: Tools of the Future™ course: April 28 – June 12, 2025. Join the ambitious Elephant AI community – managers, specialists, and developers from all industries!
Konrad Banachewicz & Special Guests
Kaggle Grandmaster and seasoned Machine Learning expert. He’ll be joined by international guests – global stars of Machine Learning and artificial intelligence.
5+1 weeks of learning together
You learn in a group, not alone. Elephant AI is built on a community that grows together. In addition to LIVE sessions, you’ll take part in daily discussions, Q&As, and knowledge sharing with fellow students.
Trusted by 8000+ people
The second edition of the AI Agents: Tools of the Future™ course: April 28 – June 12, 2025. Join the ambitious Elephant AI community – managers, specialists, and developers from all industries!
Konrad Banachewicz & Special Guests
Kaggle Grandmaster and seasoned Machine Learning expert. He’ll be joined by international guests – global stars of Machine Learning and artificial intelligence.
5+1 weeks of learning together
You learn in a group, not alone. Elephant AI is built on a community that grows together. In addition to LIVE sessions, you’ll take part in daily discussions, Q&As, and knowledge sharing with fellow students.
Trusted by 8000+ people
The second edition of the AI Agents: Tools of the Future™ course: April 28 – June 12, 2025. Join the ambitious Elephant AI community – managers, specialists, and developers from all industries!
Konrad Banachewicz & Special Guests
Kaggle Grandmaster and seasoned Machine Learning expert. He’ll be joined by international guests – global stars of Machine Learning and artificial intelligence.
5+1 weeks of learning together
You learn in a group, not alone. Elephant AI is built on a community that grows together. In addition to LIVE sessions, you’ll take part in daily discussions, Q&As, and knowledge sharing with fellow students.
Trusted by 8000+ people
The second edition of the AI Agents: Tools of the Future™ course: April 28 – June 12, 2025. Join the ambitious Elephant AI community – managers, specialists, and developers from all industries!
Konrad Banachewicz & Special Guests
Kaggle Grandmaster and seasoned Machine Learning expert. He’ll be joined by international guests – global stars of Machine Learning and artificial intelligence.
5+1 weeks of learning together
You learn in a group, not alone. Elephant AI is built on a community that grows together. In addition to LIVE sessions, you’ll take part in daily discussions, Q&As, and knowledge sharing with fellow students.
Trusted by 8000+ people
The second edition of the AI Agents: Tools of the Future™ course: April 28 – June 12, 2025. Join the ambitious Elephant AI community – managers, specialists, and developers from all industries!
Konrad Banachewicz & Special Guests
Kaggle Grandmaster and seasoned Machine Learning expert. He’ll be joined by international guests – global stars of Machine Learning and artificial intelligence.
5+1 weeks of learning together
You learn in a group, not alone. Elephant AI is built on a community that grows together. In addition to LIVE sessions, you’ll take part in daily discussions, Q&As, and knowledge sharing with fellow students.
Trusted by 8000+ people
The second edition of the AI Agents: Tools of the Future™ course: April 28 – June 12, 2025. Join the ambitious Elephant AI community – managers, specialists, and developers from all industries!
Konrad Banachewicz & Special Guests
Kaggle Grandmaster and seasoned Machine Learning expert. He’ll be joined by international guests – global stars of Machine Learning and artificial intelligence.
5+1 weeks of learning together
You learn in a group, not alone. Elephant AI is built on a community that grows together. In addition to LIVE sessions, you’ll take part in daily discussions, Q&As, and knowledge sharing with fellow students.
Trusted by 8000+ people
The second edition of the AI Agents: Tools of the Future™ course: April 28 – June 12, 2025. Join the ambitious Elephant AI community – managers, specialists, and developers from all industries!
Konrad Banachewicz & Special Guests
Kaggle Grandmaster and seasoned Machine Learning expert. He’ll be joined by international guests – global stars of Machine Learning and artificial intelligence.
What will you learn on the course?
Imagine a scenario where you have the skills top companies around the world are looking for — and you're opening the door to an exciting career in artificial intelligence.
AI Agent Fundamentals
Understand what AI Agents are and how they work in a business context. Learn their key features, such as the ability to use tools, plan, and reason in complex scenarios.
Designing Agent Systems
Learn to connect various components to build effective decision-making systems based on AI Agents. Discover popular agent-building platforms and learn how to choose the right solutions for specific business needs.
Advanced Information Retrieval
Explore how AI Agents can revolutionize knowledge management systems within organizations. Learn to integrate Agents with search and information analysis systems (RAG), enabling more efficient data utilization in business.
Agent Collaboration
Dive into the concept of multi-agent systems and their potential in solving complex business problems. Learn strategies for designing and implementing systems where multiple AI Agents collaborate, boosting overall efficiency and flexibility.
Evaluation and Optimization
Master methods for evaluating the performance of agent systems in a business context. Learn to identify key performance indicators and use them for continuous improvement of AI solutions.
International Career
You’ll strengthen your CV with in-demand, globally recognized AI skills. Get ready to work in major corporations and take your career to the next level.
What will you learn on the course?
Imagine a scenario where you have the skills top companies around the world are looking for — and you're opening the door to an exciting career in artificial intelligence.
AI Agent Fundamentals
Understand what AI Agents are and how they work in a business context. Learn their key features, such as the ability to use tools, plan, and reason in complex scenarios.
Designing Agent Systems
Learn to connect various components to build effective decision-making systems based on AI Agents. Discover popular agent-building platforms and learn how to choose the right solutions for specific business needs.
Advanced Information Retrieval
Explore how AI Agents can revolutionize knowledge management systems within organizations. Learn to integrate Agents with search and information analysis systems (RAG), enabling more efficient data utilization in business.
Agent Collaboration
Dive into the concept of multi-agent systems and their potential in solving complex business problems. Learn strategies for designing and implementing systems where multiple AI Agents collaborate, boosting overall efficiency and flexibility.
Evaluation and Optimization
Master methods for evaluating the performance of agent systems in a business context. Learn to identify key performance indicators and use them for continuous improvement of AI solutions.
International Career
You’ll strengthen your CV with in-demand, globally recognized AI skills. Get ready to work in major corporations and take your career to the next level.
What will you learn on the course?
Imagine a scenario where you have the skills top companies around the world are looking for — and you're opening the door to an exciting career in artificial intelligence.
AI Agent Fundamentals
Understand what AI Agents are and how they work in a business context. Learn their key features, such as the ability to use tools, plan, and reason in complex scenarios.
Designing Agent Systems
Learn to connect various components to build effective decision-making systems based on AI Agents. Discover popular agent-building platforms and learn how to choose the right solutions for specific business needs.
Advanced Information Retrieval
Explore how AI Agents can revolutionize knowledge management systems within organizations. Learn to integrate Agents with search and information analysis systems (RAG), enabling more efficient data utilization in business.
Agent Collaboration
Dive into the concept of multi-agent systems and their potential in solving complex business problems. Learn strategies for designing and implementing systems where multiple AI Agents collaborate, boosting overall efficiency and flexibility.
Evaluation and Optimization
Master methods for evaluating the performance of agent systems in a business context. Learn to identify key performance indicators and use them for continuous improvement of AI solutions.
International Career
You’ll strengthen your CV with in-demand, globally recognized AI skills. Get ready to work in major corporations and take your career to the next level.
What will you learn on the course?
Imagine a scenario where you have the skills top companies around the world are looking for — and you're opening the door to an exciting career in artificial intelligence.
AI Agent Fundamentals
Understand what AI Agents are and how they work in a business context. Learn their key features, such as the ability to use tools, plan, and reason in complex scenarios.
Designing Agent Systems
Learn to connect various components to build effective decision-making systems based on AI Agents. Discover popular agent-building platforms and learn how to choose the right solutions for specific business needs.
Advanced Information Retrieval
Explore how AI Agents can revolutionize knowledge management systems within organizations. Learn to integrate Agents with search and information analysis systems (RAG), enabling more efficient data utilization in business.
Agent Collaboration
Dive into the concept of multi-agent systems and their potential in solving complex business problems. Learn strategies for designing and implementing systems where multiple AI Agents collaborate, boosting overall efficiency and flexibility.
Evaluation and Optimization
Master methods for evaluating the performance of agent systems in a business context. Learn to identify key performance indicators and use them for continuous improvement of AI solutions.
International Career
You’ll strengthen your CV with in-demand, globally recognized AI skills. Get ready to work in major corporations and take your career to the next level.
AI Agent Fundamentals
Understand what AI Agents are and how they work in a business context. Learn their key features, such as the ability to use tools, plan, and reason in complex scenarios.
Designing Agent Systems
Learn to connect various components to build effective decision-making systems based on AI Agents. Discover popular agent-building platforms and learn how to choose the right solutions for specific business needs.
Advanced Information Retrieval
Explore how AI Agents can revolutionize knowledge management systems within organizations. Learn to integrate Agents with search and information analysis systems (RAG), enabling more efficient data utilization in business.
Agent Collaboration
Dive into the concept of multi-agent systems and their potential in solving complex business problems. Learn strategies for designing and implementing systems where multiple AI Agents collaborate, boosting overall efficiency and flexibility.
Evaluation and Optimization
Master methods for evaluating the performance of agent systems in a business context. Learn to identify key performance indicators and use them for continuous improvement of AI solutions.
International Career
You’ll strengthen your CV with in-demand, globally recognized AI skills. Get ready to work in major corporations and take your career to the next level.
AI Agent Fundamentals
Understand what AI Agents are and how they work in a business context. Learn their key features, such as the ability to use tools, plan, and reason in complex scenarios.
Designing Agent Systems
Learn to connect various components to build effective decision-making systems based on AI Agents. Discover popular agent-building platforms and learn how to choose the right solutions for specific business needs.
Advanced Information Retrieval
Explore how AI Agents can revolutionize knowledge management systems within organizations. Learn to integrate Agents with search and information analysis systems (RAG), enabling more efficient data utilization in business.
Agent Collaboration
Dive into the concept of multi-agent systems and their potential in solving complex business problems. Learn strategies for designing and implementing systems where multiple AI Agents collaborate, boosting overall efficiency and flexibility.
Evaluation and Optimization
Master methods for evaluating the performance of agent systems in a business context. Learn to identify key performance indicators and use them for continuous improvement of AI solutions.
International Career
You’ll strengthen your CV with in-demand, globally recognized AI skills. Get ready to work in major corporations and take your career to the next level.
AI Agent Fundamentals
Understand what AI Agents are and how they work in a business context. Learn their key features, such as the ability to use tools, plan, and reason in complex scenarios.
Designing Agent Systems
Learn to connect various components to build effective decision-making systems based on AI Agents. Discover popular agent-building platforms and learn how to choose the right solutions for specific business needs.
Advanced Information Retrieval
Explore how AI Agents can revolutionize knowledge management systems within organizations. Learn to integrate Agents with search and information analysis systems (RAG), enabling more efficient data utilization in business.
Agent Collaboration
Dive into the concept of multi-agent systems and their potential in solving complex business problems. Learn strategies for designing and implementing systems where multiple AI Agents collaborate, boosting overall efficiency and flexibility.
Evaluation and Optimization
Master methods for evaluating the performance of agent systems in a business context. Learn to identify key performance indicators and use them for continuous improvement of AI solutions.
International Career
You’ll strengthen your CV with in-demand, globally recognized AI skills. Get ready to work in major corporations and take your career to the next level.
AI agents will become our digital assistants, helping us navigate the complexities of the modern world. They will make our lives easier and more efficient.
~
Jeff Bezos
Amazon CEO
AI agents will transform the way we interact with technology, making it more natural and intuitive. They will enable us to have more meaningful and productive interactions with computers.
~
Fei-Fei Li
Stanford University
AI agents will become an integral part of our daily lives, helping us with everything from scheduling appointments to managing our finances. They will make our lives more convenient and efficient.
~
Andrew Ng
Google Brain & Coursera
AI agents will become our digital assistants, helping us navigate the complexities of the modern world. They will make our lives easier and more efficient.
~
Jeff Bezos
Amazon CEO
AI agents will transform the way we interact with technology, making it more natural and intuitive. They will enable us to have more meaningful and productive interactions with computers.
~
Fei-Fei Li
Stanford University
AI agents will become an integral part of our daily lives, helping us with everything from scheduling appointments to managing our finances. They will make our lives more convenient and efficient.
~
Andrew Ng
Google Brain & Coursera
AI agents will become our digital assistants, helping us navigate the complexities of the modern world. They will make our lives easier and more efficient.
~
Jeff Bezos
Amazon CEO
AI agents will transform the way we interact with technology, making it more natural and intuitive. They will enable us to have more meaningful and productive interactions with computers.
~
Fei-Fei Li
Stanford University
AI agents will become an integral part of our daily lives, helping us with everything from scheduling appointments to managing our finances. They will make our lives more convenient and efficient.
~
Andrew Ng
Google Brain & Coursera
AI agents will become our digital assistants, helping us navigate the complexities of the modern world. They will make our lives easier and more efficient.
~
Jeff Bezos
Amazon CEO
AI agents will transform the way we interact with technology, making it more natural and intuitive. They will enable us to have more meaningful and productive interactions with computers.
~
Fei-Fei Li
Stanford University
AI agents will become an integral part of our daily lives, helping us with everything from scheduling appointments to managing our finances. They will make our lives more convenient and efficient.
~
Andrew Ng
Google Brain & Coursera
AI Agents Code. Take control of AI
This course assumes you know Python at the level required to work with LLMs via API. The AI Agents program was designed for:
Graduates of the GenAI Code course — as a perfect continuation of their learning journey.
Experienced programmers and software developers looking to expand their skills into AI Agents.
Individuals interested in building an international tech career.
Anyone who wants to harness the revolutionary potential of AI Agents to solve real-world problems.
AI Agents Code. Take control of AI
This course assumes you know Python at the level required to work with LLMs via API. The AI Agents program was designed for:
Graduates of the GenAI Code course — as a perfect continuation of their learning journey.
Experienced programmers and software developers looking to expand their skills into AI Agents.
Individuals interested in building an international tech career.
Anyone who wants to harness the revolutionary potential of AI Agents to solve real-world problems.
AI Agents Code. Take control of AI
This course assumes you know Python at the level required to work with LLMs via API. The AI Agents program was designed for:
Graduates of the GenAI Code course — as a perfect continuation of their learning journey.
Experienced programmers and software developers looking to expand their skills into AI Agents.
Individuals interested in building an international tech career.
Anyone who wants to harness the revolutionary potential of AI Agents to solve real-world problems.
AI Agents Code. Take control of AI
This course assumes you know Python at the level required to work with LLMs via API. The AI Agents program was designed for:
Graduates of the GenAI Code course — as a perfect continuation of their learning journey.
Experienced programmers and software developers looking to expand their skills into AI Agents.
Individuals interested in building an international tech career.
Anyone who wants to harness the revolutionary potential of AI Agents to solve real-world problems.
See what our alumni are saying
See what our alumni are saying
See what our alumni are saying
See what our alumni are saying
Do you buy courses and then leave them on the shelf?
With Elephant AI, it will be different.
There are areas where knowledge evolves extremely fast — and AI is one of them.
That’s why we chose a cohort-based course model.
In this setup, participants form a group led by trainers, working together toward mastering the topic. We share knowledge in small, manageable portions — every single day.
Additionally, cohort members build a real community. We discuss challenges together and help each other solve them.
In traditional online courses, you might find homework — but no one checks it because it would require too much work from the instructors. In a cohort, it's different. Every project you submit will be reviewed, and you’ll receive your certificate only after a positive evaluation. Throughout the course, you’ll receive a variety of learning materials. You decide which ones interest you most and how you want to use them.
Do you buy courses and then leave them on the shelf?
With Elephant AI, it will be different.
There are areas where knowledge evolves extremely fast — and AI is one of them.
That’s why we chose a cohort-based course model.
In this setup, participants form a group led by trainers, working together toward mastering the topic. We share knowledge in small, manageable portions — every single day.
Additionally, cohort members build a real community. We discuss challenges together and help each other solve them.
In traditional online courses, you might find homework — but no one checks it because it would require too much work from the instructors. In a cohort, it's different. Every project you submit will be reviewed, and you’ll receive your certificate only after a positive evaluation. Throughout the course, you’ll receive a variety of learning materials. You decide which ones interest you most and how you want to use them.
Do you buy courses and then leave them on the shelf?
With Elephant AI, it will be different.
There are areas where knowledge evolves extremely fast — and AI is one of them.
That’s why we chose a cohort-based course model.
In this setup, participants form a group led by trainers, working together toward mastering the topic. We share knowledge in small, manageable portions — every single day.
Additionally, cohort members build a real community. We discuss challenges together and help each other solve them.
In traditional online courses, you might find homework — but no one checks it because it would require too much work from the instructors. In a cohort, it's different. Every project you submit will be reviewed, and you’ll receive your certificate only after a positive evaluation. Throughout the course, you’ll receive a variety of learning materials. You decide which ones interest you most and how you want to use them.
Do you buy courses and then leave them on the shelf?
With Elephant AI, it will be different.
There are areas where knowledge evolves extremely fast — and AI is one of them.
That’s why we chose a cohort-based course model.
In this setup, participants form a group led by trainers, working together toward mastering the topic. We share knowledge in small, manageable portions — every single day.
Additionally, cohort members build a real community. We discuss challenges together and help each other solve them.
In traditional online courses, you might find homework — but no one checks it because it would require too much work from the instructors. In a cohort, it's different. Every project you submit will be reviewed, and you’ll receive your certificate only after a positive evaluation. Throughout the course, you’ll receive a variety of learning materials. You decide which ones interest you most and how you want to use them.
What does a course with Elephant AI look like?
1
6 weeks of collaborative learning
Elephant AI is a cohort-based program where we learn together. You’ll join a group of hundreds of students with similar goals and a shared passion for exploring how to use GenAI in real projects.
2
Evening live sessions
At the heart of the program are 10 live sessions held in the evenings on Zoom, every Monday and Wednesday.
You can expect practical exercises, Q&A, and active knowledge-sharing with fellow participants. The workshops will be led by Konrad Banachewicz along with special guest speakers, and each session will last around 2 hours. All live sessions will be recorded, so you won’t miss a thing.
3
Homework assignments
Almost every class wraps up with a homework assignment — a practical task where you demonstrate your new skills. Completing these assignments will be required to finish the course.
4
Deployment
In this course, you’ll learn how to build solutions ready for deployment in real-world environments. Instead of simple exercises, you’ll work on projects that reflect actual business challenges — learning implementation, testing, and deployment step by step.
5
Build real, commercial-ready products
This is a hands-on course — we’ll teach you how to create a complete, market-ready product. From the first line of code to core features and full integration, every task mirrors the real-life process of building applications that are ready for immediate use.
6
Final course project
At the end of the program, you’ll design an agent system that solves a real business problem.
7
DIY scripts
Our custom scripts will guide you in building your own models — for example, an LLM model aligned with the AI Act.
8
Progress feedback
With hundreds of AI enthusiasts in the program, we create space for peer reviews between participants so you can get feedback and improve continuously.
9
The Elephant AI community
You’ll learn as part of a community, not on your own. Our program is designed around a collaborative environment over the 6-week course. You’ll take part in daily discussions on the platform, Q&A sessions, and active knowledge exchange.
What does a course with Elephant AI look like?
1
6 weeks of collaborative learning
Elephant AI is a cohort-based program where we learn together. You’ll join a group of hundreds of students with similar goals and a shared passion for exploring how to use GenAI in real projects.
2
Evening live sessions
At the heart of the program are 10 live sessions held in the evenings on Zoom, every Monday and Wednesday.
You can expect practical exercises, Q&A, and active knowledge-sharing with fellow participants. The workshops will be led by Konrad Banachewicz along with special guest speakers, and each session will last around 2 hours. All live sessions will be recorded, so you won’t miss a thing.
3
Homework assignments
Almost every class wraps up with a homework assignment — a practical task where you demonstrate your new skills. Completing these assignments will be required to finish the course.
4
Deployment
In this course, you’ll learn how to build solutions ready for deployment in real-world environments. Instead of simple exercises, you’ll work on projects that reflect actual business challenges — learning implementation, testing, and deployment step by step.
5
Build real, commercial-ready products
This is a hands-on course — we’ll teach you how to create a complete, market-ready product. From the first line of code to core features and full integration, every task mirrors the real-life process of building applications that are ready for immediate use.
6
Final course project
At the end of the program, you’ll design an agent system that solves a real business problem.
7
DIY scripts
Our custom scripts will guide you in building your own models — for example, an LLM model aligned with the AI Act.
8
Progress feedback
With hundreds of AI enthusiasts in the program, we create space for peer reviews between participants so you can get feedback and improve continuously.
9
The Elephant AI community
You’ll learn as part of a community, not on your own. Our program is designed around a collaborative environment over the 6-week course. You’ll take part in daily discussions on the platform, Q&A sessions, and active knowledge exchange.
What does a course with Elephant AI look like?
1
6 weeks of collaborative learning
Elephant AI is a cohort-based program where we learn together. You’ll join a group of hundreds of students with similar goals and a shared passion for exploring how to use GenAI in real projects.
2
Evening live sessions
At the heart of the program are 10 live sessions held in the evenings on Zoom, every Monday and Wednesday.
You can expect practical exercises, Q&A, and active knowledge-sharing with fellow participants. The workshops will be led by Konrad Banachewicz along with special guest speakers, and each session will last around 2 hours. All live sessions will be recorded, so you won’t miss a thing.
3
Homework assignments
Almost every class wraps up with a homework assignment — a practical task where you demonstrate your new skills. Completing these assignments will be required to finish the course.
4
Deployment
In this course, you’ll learn how to build solutions ready for deployment in real-world environments. Instead of simple exercises, you’ll work on projects that reflect actual business challenges — learning implementation, testing, and deployment step by step.
5
Build real, commercial-ready products
This is a hands-on course — we’ll teach you how to create a complete, market-ready product. From the first line of code to core features and full integration, every task mirrors the real-life process of building applications that are ready for immediate use.
6
Final course project
At the end of the program, you’ll design an agent system that solves a real business problem.
7
DIY scripts
Our custom scripts will guide you in building your own models — for example, an LLM model aligned with the AI Act.
8
Progress feedback
With hundreds of AI enthusiasts in the program, we create space for peer reviews between participants so you can get feedback and improve continuously.
9
The Elephant AI community
You’ll learn as part of a community, not on your own. Our program is designed around a collaborative environment over the 6-week course. You’ll take part in daily discussions on the platform, Q&A sessions, and active knowledge exchange.
What does a course with Elephant AI look like?
1
6 weeks of collaborative learning
Elephant AI is a cohort-based program where we learn together. You’ll join a group of hundreds of students with similar goals and a shared passion for exploring how to use GenAI in real projects.
2
Evening live sessions
At the heart of the program are 10 live sessions held in the evenings on Zoom, every Monday and Wednesday.
You can expect practical exercises, Q&A, and active knowledge-sharing with fellow participants. The workshops will be led by Konrad Banachewicz along with special guest speakers, and each session will last around 2 hours. All live sessions will be recorded, so you won’t miss a thing.
3
Homework assignments
Almost every class wraps up with a homework assignment — a practical task where you demonstrate your new skills. Completing these assignments will be required to finish the course.
4
Deployment
In this course, you’ll learn how to build solutions ready for deployment in real-world environments. Instead of simple exercises, you’ll work on projects that reflect actual business challenges — learning implementation, testing, and deployment step by step.
5
Build real, commercial-ready products
This is a hands-on course — we’ll teach you how to create a complete, market-ready product. From the first line of code to core features and full integration, every task mirrors the real-life process of building applications that are ready for immediate use.
6
Final course project
At the end of the program, you’ll design an agent system that solves a real business problem.
7
DIY scripts
Our custom scripts will guide you in building your own models — for example, an LLM model aligned with the AI Act.
8
Progress feedback
With hundreds of AI enthusiasts in the program, we create space for peer reviews between participants so you can get feedback and improve continuously.
9
The Elephant AI community
You’ll learn as part of a community, not on your own. Our program is designed around a collaborative environment over the 6-week course. You’ll take part in daily discussions on the platform, Q&A sessions, and active knowledge exchange.
6 weeks full of knowledge, case studies, and community interaction
Today, understanding AI largely depends on how well the context is explained. During the Elephant AI course, we’ll share our best tactics — and there’s a good chance that, together with the whole group of participants, we’ll discover completely new solutions. That’s why we chose an interactive, cohort-based format for Elephant AI, instead of a traditional course based solely on video content.
6 weeks full of knowledge, case studies, and community interaction
Today, understanding AI largely depends on how well the context is explained. During the Elephant AI course, we’ll share our best tactics — and there’s a good chance that, together with the whole group of participants, we’ll discover completely new solutions. That’s why we chose an interactive, cohort-based format for Elephant AI, instead of a traditional course based solely on video content.
6 weeks full of knowledge, case studies, and community interaction
Today, understanding AI largely depends on how well the context is explained. During the Elephant AI course, we’ll share our best tactics — and there’s a good chance that, together with the whole group of participants, we’ll discover completely new solutions. That’s why we chose an interactive, cohort-based format for Elephant AI, instead of a traditional course based solely on video content.
6 weeks full of knowledge, case studies, and community interaction
Today, understanding AI largely depends on how well the context is explained. During the Elephant AI course, we’ll share our best tactics — and there’s a good chance that, together with the whole group of participants, we’ll discover completely new solutions. That’s why we chose an interactive, cohort-based format for Elephant AI, instead of a traditional course based solely on video content.
Course agenda
Module
1
Tool Use in LLM
Topics
Calling functions in LLMs
Creating and validating tool schemas
Error handling and alternative solutions
Implementing security in function execution
Types of tools for search, computation, and data fetching
Results
Design interfaces for function calls in LLMs
Create tool specs that work reliably with models
Build output validation systems
Handle LLM tool errors
Implement security for function execution
Projects
Personal assistant with calendar, email, and file access
Database query agent
Research tool for multi-source synthesis
Coding assistant supporting multiple languages
Module
1
Tool Use in LLM
Topics
Calling functions in LLMs
Creating and validating tool schemas
Error handling and alternative solutions
Implementing security in function execution
Types of tools for search, computation, and data fetching
Results
Design interfaces for function calls in LLMs
Create tool specs that work reliably with models
Build output validation systems
Handle LLM tool errors
Implement security for function execution
Projects
Personal assistant with calendar, email, and file access
Database query agent
Research tool for multi-source synthesis
Coding assistant supporting multiple languages
Topics
Calling functions in LLMs
Creating and validating tool schemas
Error handling and alternative solutions
Implementing security in function execution
Types of tools for search, computation, and data fetching
Results
Design interfaces for function calls in LLMs
Create tool specs that work reliably with models
Build output validation systems
Handle LLM tool errors
Implement security for function execution
Projects
Personal assistant with calendar, email, and file access
Database query agent
Research tool for multi-source synthesis
Coding assistant supporting multiple languages
Topics
Calling functions in LLMs
Creating and validating tool schemas
Error handling and alternative solutions
Implementing security in function execution
Types of tools for search, computation, and data fetching
Results
Design interfaces for function calls in LLMs
Create tool specs that work reliably with models
Build output validation systems
Handle LLM tool errors
Implement security for function execution
Projects
Personal assistant with calendar, email, and file access
Database query agent
Research tool for multi-source synthesis
Coding assistant supporting multiple languages
Topics
Calling functions in LLMs
Creating and validating tool schemas
Error handling and alternative solutions
Implementing security in function execution
Types of tools for search, computation, and data fetching
Results
Design interfaces for function calls in LLMs
Create tool specs that work reliably with models
Build output validation systems
Handle LLM tool errors
Implement security for function execution
Projects
Personal assistant with calendar, email, and file access
Database query agent
Research tool for multi-source synthesis
Coding assistant supporting multiple languages
Module
1
Tool Use in LLM
Topics
Calling functions in LLMs
Creating and validating tool schemas
Error handling and alternative solutions
Implementing security in function execution
Types of tools for search, computation, and data fetching
Results
Design interfaces for function calls in LLMs
Create tool specs that work reliably with models
Build output validation systems
Handle LLM tool errors
Implement security for function execution
Projects
Personal assistant with calendar, email, and file access
Database query agent
Research tool for multi-source synthesis
Coding assistant supporting multiple languages
Module
1
Tool Use in LLM
Topics
Calling functions in LLMs
Creating and validating tool schemas
Error handling and alternative solutions
Implementing security in function execution
Types of tools for search, computation, and data fetching
Results
Design interfaces for function calls in LLMs
Create tool specs that work reliably with models
Build output validation systems
Handle LLM tool errors
Implement security for function execution
Projects
Personal assistant with calendar, email, and file access
Database query agent
Research tool for multi-source synthesis
Coding assistant supporting multiple languages
Topics
Calling functions in LLMs
Creating and validating tool schemas
Error handling and alternative solutions
Implementing security in function execution
Types of tools for search, computation, and data fetching
Results
Design interfaces for function calls in LLMs
Create tool specs that work reliably with models
Build output validation systems
Handle LLM tool errors
Implement security for function execution
Projects
Personal assistant with calendar, email, and file access
Database query agent
Research tool for multi-source synthesis
Coding assistant supporting multiple languages
Topics
Calling functions in LLMs
Creating and validating tool schemas
Error handling and alternative solutions
Implementing security in function execution
Types of tools for search, computation, and data fetching
Results
Design interfaces for function calls in LLMs
Create tool specs that work reliably with models
Build output validation systems
Handle LLM tool errors
Implement security for function execution
Projects
Personal assistant with calendar, email, and file access
Database query agent
Research tool for multi-source synthesis
Coding assistant supporting multiple languages
Topics
Calling functions in LLMs
Creating and validating tool schemas
Error handling and alternative solutions
Implementing security in function execution
Types of tools for search, computation, and data fetching
Results
Design interfaces for function calls in LLMs
Create tool specs that work reliably with models
Build output validation systems
Handle LLM tool errors
Implement security for function execution
Projects
Personal assistant with calendar, email, and file access
Database query agent
Research tool for multi-source synthesis
Coding assistant supporting multiple languages
Module
2
Deep Research / Browser Use
Topics
Planning and breaking tasks into parts
Web data collection and info aggregation
Document analysis
Extracting structured data from various sources
Synthesizing and summarizing info
OS and app-level collaboration
Results
Design multi-stage research strategies
Collect reliable data from the web
Extract info from different file formats
Verify collected data
Build agents interacting with OS/apps
Projects
Research agent compiling and reporting insights
PDF analyzer for extracting insights
Competitive analysis tools
Multi-application task execution system
Module
2
Deep Research / Browser Use
Topics
Planning and breaking tasks into parts
Web data collection and info aggregation
Document analysis
Extracting structured data from various sources
Synthesizing and summarizing info
OS and app-level collaboration
Results
Design multi-stage research strategies
Collect reliable data from the web
Extract info from different file formats
Verify collected data
Build agents interacting with OS/apps
Projects
Research agent compiling and reporting insights
PDF analyzer for extracting insights
Competitive analysis tools
Multi-application task execution system
Topics
Planning and breaking tasks into parts
Web data collection and info aggregation
Document analysis
Extracting structured data from various sources
Synthesizing and summarizing info
OS and app-level collaboration
Results
Design multi-stage research strategies
Collect reliable data from the web
Extract info from different file formats
Verify collected data
Build agents interacting with OS/apps
Projects
Research agent compiling and reporting insights
PDF analyzer for extracting insights
Competitive analysis tools
Multi-application task execution system
Topics
Planning and breaking tasks into parts
Web data collection and info aggregation
Document analysis
Extracting structured data from various sources
Synthesizing and summarizing info
OS and app-level collaboration
Results
Design multi-stage research strategies
Collect reliable data from the web
Extract info from different file formats
Verify collected data
Build agents interacting with OS/apps
Projects
Research agent compiling and reporting insights
PDF analyzer for extracting insights
Competitive analysis tools
Multi-application task execution system
Topics
Planning and breaking tasks into parts
Web data collection and info aggregation
Document analysis
Extracting structured data from various sources
Synthesizing and summarizing info
OS and app-level collaboration
Results
Design multi-stage research strategies
Collect reliable data from the web
Extract info from different file formats
Verify collected data
Build agents interacting with OS/apps
Projects
Research agent compiling and reporting insights
PDF analyzer for extracting insights
Competitive analysis tools
Multi-application task execution system
Module
2
Deep Research / Browser Use
Topics
Planning and breaking tasks into parts
Web data collection and info aggregation
Document analysis
Extracting structured data from various sources
Synthesizing and summarizing info
OS and app-level collaboration
Results
Design multi-stage research strategies
Collect reliable data from the web
Extract info from different file formats
Verify collected data
Build agents interacting with OS/apps
Projects
Research agent compiling and reporting insights
PDF analyzer for extracting insights
Competitive analysis tools
Multi-application task execution system
Module
2
Deep Research / Browser Use
Topics
Planning and breaking tasks into parts
Web data collection and info aggregation
Document analysis
Extracting structured data from various sources
Synthesizing and summarizing info
OS and app-level collaboration
Results
Design multi-stage research strategies
Collect reliable data from the web
Extract info from different file formats
Verify collected data
Build agents interacting with OS/apps
Projects
Research agent compiling and reporting insights
PDF analyzer for extracting insights
Competitive analysis tools
Multi-application task execution system
Topics
Planning and breaking tasks into parts
Web data collection and info aggregation
Document analysis
Extracting structured data from various sources
Synthesizing and summarizing info
OS and app-level collaboration
Results
Design multi-stage research strategies
Collect reliable data from the web
Extract info from different file formats
Verify collected data
Build agents interacting with OS/apps
Projects
Research agent compiling and reporting insights
PDF analyzer for extracting insights
Competitive analysis tools
Multi-application task execution system
Topics
Planning and breaking tasks into parts
Web data collection and info aggregation
Document analysis
Extracting structured data from various sources
Synthesizing and summarizing info
OS and app-level collaboration
Results
Design multi-stage research strategies
Collect reliable data from the web
Extract info from different file formats
Verify collected data
Build agents interacting with OS/apps
Projects
Research agent compiling and reporting insights
PDF analyzer for extracting insights
Competitive analysis tools
Multi-application task execution system
Topics
Planning and breaking tasks into parts
Web data collection and info aggregation
Document analysis
Extracting structured data from various sources
Synthesizing and summarizing info
OS and app-level collaboration
Results
Design multi-stage research strategies
Collect reliable data from the web
Extract info from different file formats
Verify collected data
Build agents interacting with OS/apps
Projects
Research agent compiling and reporting insights
PDF analyzer for extracting insights
Competitive analysis tools
Multi-application task execution system
Module
3
Single-Agent Solutions – Part 1
Topics
Agent architecture fundamentals
Memory and state management
Task planning and monitoring
Self-correction mechanisms
Chain-of-thought techniques
ReAct patterns (Reasoning + Acting)
Results
Design cohesive agent structures
Build memory-consistent systems
Develop adaptive task planning
Create agents with error recovery
Understand Agent + RAG for reasoning
Projects
Productivity assistant with task/calendar integration
End-to-end customer service agent
Personalized tutor
Data analysis agent for cleaning, visualizing, and querying
Module
3
Single-Agent Solutions – Part 1
Topics
Agent architecture fundamentals
Memory and state management
Task planning and monitoring
Self-correction mechanisms
Chain-of-thought techniques
ReAct patterns (Reasoning + Acting)
Results
Design cohesive agent structures
Build memory-consistent systems
Develop adaptive task planning
Create agents with error recovery
Understand Agent + RAG for reasoning
Projects
Productivity assistant with task/calendar integration
End-to-end customer service agent
Personalized tutor
Data analysis agent for cleaning, visualizing, and querying
Topics
Agent architecture fundamentals
Memory and state management
Task planning and monitoring
Self-correction mechanisms
Chain-of-thought techniques
ReAct patterns (Reasoning + Acting)
Results
Design cohesive agent structures
Build memory-consistent systems
Develop adaptive task planning
Create agents with error recovery
Understand Agent + RAG for reasoning
Projects
Productivity assistant with task/calendar integration
End-to-end customer service agent
Personalized tutor
Data analysis agent for cleaning, visualizing, and querying
Topics
Agent architecture fundamentals
Memory and state management
Task planning and monitoring
Self-correction mechanisms
Chain-of-thought techniques
ReAct patterns (Reasoning + Acting)
Results
Design cohesive agent structures
Build memory-consistent systems
Develop adaptive task planning
Create agents with error recovery
Understand Agent + RAG for reasoning
Projects
Productivity assistant with task/calendar integration
End-to-end customer service agent
Personalized tutor
Data analysis agent for cleaning, visualizing, and querying
Topics
Agent architecture fundamentals
Memory and state management
Task planning and monitoring
Self-correction mechanisms
Chain-of-thought techniques
ReAct patterns (Reasoning + Acting)
Results
Design cohesive agent structures
Build memory-consistent systems
Develop adaptive task planning
Create agents with error recovery
Understand Agent + RAG for reasoning
Projects
Productivity assistant with task/calendar integration
End-to-end customer service agent
Personalized tutor
Data analysis agent for cleaning, visualizing, and querying
Module
3
Single-Agent Solutions – Part 1
Topics
Agent architecture fundamentals
Memory and state management
Task planning and monitoring
Self-correction mechanisms
Chain-of-thought techniques
ReAct patterns (Reasoning + Acting)
Results
Design cohesive agent structures
Build memory-consistent systems
Develop adaptive task planning
Create agents with error recovery
Understand Agent + RAG for reasoning
Projects
Productivity assistant with task/calendar integration
End-to-end customer service agent
Personalized tutor
Data analysis agent for cleaning, visualizing, and querying
Module
3
Single-Agent Solutions – Part 1
Topics
Agent architecture fundamentals
Memory and state management
Task planning and monitoring
Self-correction mechanisms
Chain-of-thought techniques
ReAct patterns (Reasoning + Acting)
Results
Design cohesive agent structures
Build memory-consistent systems
Develop adaptive task planning
Create agents with error recovery
Understand Agent + RAG for reasoning
Projects
Productivity assistant with task/calendar integration
End-to-end customer service agent
Personalized tutor
Data analysis agent for cleaning, visualizing, and querying
Topics
Agent architecture fundamentals
Memory and state management
Task planning and monitoring
Self-correction mechanisms
Chain-of-thought techniques
ReAct patterns (Reasoning + Acting)
Results
Design cohesive agent structures
Build memory-consistent systems
Develop adaptive task planning
Create agents with error recovery
Understand Agent + RAG for reasoning
Projects
Productivity assistant with task/calendar integration
End-to-end customer service agent
Personalized tutor
Data analysis agent for cleaning, visualizing, and querying
Topics
Agent architecture fundamentals
Memory and state management
Task planning and monitoring
Self-correction mechanisms
Chain-of-thought techniques
ReAct patterns (Reasoning + Acting)
Results
Design cohesive agent structures
Build memory-consistent systems
Develop adaptive task planning
Create agents with error recovery
Understand Agent + RAG for reasoning
Projects
Productivity assistant with task/calendar integration
End-to-end customer service agent
Personalized tutor
Data analysis agent for cleaning, visualizing, and querying
Topics
Agent architecture fundamentals
Memory and state management
Task planning and monitoring
Self-correction mechanisms
Chain-of-thought techniques
ReAct patterns (Reasoning + Acting)
Results
Design cohesive agent structures
Build memory-consistent systems
Develop adaptive task planning
Create agents with error recovery
Understand Agent + RAG for reasoning
Projects
Productivity assistant with task/calendar integration
End-to-end customer service agent
Personalized tutor
Data analysis agent for cleaning, visualizing, and querying
Module
4
Single-Agent Solutions – Part 2
Topics
Advanced reasoning techniques
Tool orchestration
Human-in-the-loop collaboration
Conversational agent design
Handling ambiguity and decisions
Adapting agents to expert domains
Results
Build reasoning-capable agents
Combine tools to solve complex tasks
Create human-agent interfaces
Design agents for unclear decisions
Customize for specialized domains
Projects
Legal assistant for jurisprudence
Financial advisor
Creative writing assistant
Healthcare info assistant
Module
4
Single-Agent Solutions – Part 2
Topics
Advanced reasoning techniques
Tool orchestration
Human-in-the-loop collaboration
Conversational agent design
Handling ambiguity and decisions
Adapting agents to expert domains
Results
Build reasoning-capable agents
Combine tools to solve complex tasks
Create human-agent interfaces
Design agents for unclear decisions
Customize for specialized domains
Projects
Legal assistant for jurisprudence
Financial advisor
Creative writing assistant
Healthcare info assistant
Topics
Advanced reasoning techniques
Tool orchestration
Human-in-the-loop collaboration
Conversational agent design
Handling ambiguity and decisions
Adapting agents to expert domains
Results
Build reasoning-capable agents
Combine tools to solve complex tasks
Create human-agent interfaces
Design agents for unclear decisions
Customize for specialized domains
Projects
Legal assistant for jurisprudence
Financial advisor
Creative writing assistant
Healthcare info assistant
Topics
Advanced reasoning techniques
Tool orchestration
Human-in-the-loop collaboration
Conversational agent design
Handling ambiguity and decisions
Adapting agents to expert domains
Results
Build reasoning-capable agents
Combine tools to solve complex tasks
Create human-agent interfaces
Design agents for unclear decisions
Customize for specialized domains
Projects
Legal assistant for jurisprudence
Financial advisor
Creative writing assistant
Healthcare info assistant
Topics
Advanced reasoning techniques
Tool orchestration
Human-in-the-loop collaboration
Conversational agent design
Handling ambiguity and decisions
Adapting agents to expert domains
Results
Build reasoning-capable agents
Combine tools to solve complex tasks
Create human-agent interfaces
Design agents for unclear decisions
Customize for specialized domains
Projects
Legal assistant for jurisprudence
Financial advisor
Creative writing assistant
Healthcare info assistant
Module
4
Single-Agent Solutions – Part 2
Topics
Advanced reasoning techniques
Tool orchestration
Human-in-the-loop collaboration
Conversational agent design
Handling ambiguity and decisions
Adapting agents to expert domains
Results
Build reasoning-capable agents
Combine tools to solve complex tasks
Create human-agent interfaces
Design agents for unclear decisions
Customize for specialized domains
Projects
Legal assistant for jurisprudence
Financial advisor
Creative writing assistant
Healthcare info assistant
Module
4
Single-Agent Solutions – Part 2
Topics
Advanced reasoning techniques
Tool orchestration
Human-in-the-loop collaboration
Conversational agent design
Handling ambiguity and decisions
Adapting agents to expert domains
Results
Build reasoning-capable agents
Combine tools to solve complex tasks
Create human-agent interfaces
Design agents for unclear decisions
Customize for specialized domains
Projects
Legal assistant for jurisprudence
Financial advisor
Creative writing assistant
Healthcare info assistant
Topics
Advanced reasoning techniques
Tool orchestration
Human-in-the-loop collaboration
Conversational agent design
Handling ambiguity and decisions
Adapting agents to expert domains
Results
Build reasoning-capable agents
Combine tools to solve complex tasks
Create human-agent interfaces
Design agents for unclear decisions
Customize for specialized domains
Projects
Legal assistant for jurisprudence
Financial advisor
Creative writing assistant
Healthcare info assistant
Topics
Advanced reasoning techniques
Tool orchestration
Human-in-the-loop collaboration
Conversational agent design
Handling ambiguity and decisions
Adapting agents to expert domains
Results
Build reasoning-capable agents
Combine tools to solve complex tasks
Create human-agent interfaces
Design agents for unclear decisions
Customize for specialized domains
Projects
Legal assistant for jurisprudence
Financial advisor
Creative writing assistant
Healthcare info assistant
Topics
Advanced reasoning techniques
Tool orchestration
Human-in-the-loop collaboration
Conversational agent design
Handling ambiguity and decisions
Adapting agents to expert domains
Results
Build reasoning-capable agents
Combine tools to solve complex tasks
Create human-agent interfaces
Design agents for unclear decisions
Customize for specialized domains
Projects
Legal assistant for jurisprudence
Financial advisor
Creative writing assistant
Healthcare info assistant
Module
5
Agent RAG
Topics
RAG architecture basics
Dynamic search strategies
Query chunking
Knowledge graph use
Vector DB optimization
Iterative search and synthesis
Results
Design advanced RAG-agent systems
Apply context-based search strategies
Chunk queries effectively
Use knowledge graphs for better results
Improve answers through synthesis
Projects
Internal documentation knowledge base
Tech support agent fetching relevant materials
Research assistant for literature review
Education system adjusting content per learner
Module
5
Agent RAG
Topics
RAG architecture basics
Dynamic search strategies
Query chunking
Knowledge graph use
Vector DB optimization
Iterative search and synthesis
Results
Design advanced RAG-agent systems
Apply context-based search strategies
Chunk queries effectively
Use knowledge graphs for better results
Improve answers through synthesis
Projects
Internal documentation knowledge base
Tech support agent fetching relevant materials
Research assistant for literature review
Education system adjusting content per learner
Topics
RAG architecture basics
Dynamic search strategies
Query chunking
Knowledge graph use
Vector DB optimization
Iterative search and synthesis
Results
Design advanced RAG-agent systems
Apply context-based search strategies
Chunk queries effectively
Use knowledge graphs for better results
Improve answers through synthesis
Projects
Internal documentation knowledge base
Tech support agent fetching relevant materials
Research assistant for literature review
Education system adjusting content per learner
Topics
RAG architecture basics
Dynamic search strategies
Query chunking
Knowledge graph use
Vector DB optimization
Iterative search and synthesis
Results
Design advanced RAG-agent systems
Apply context-based search strategies
Chunk queries effectively
Use knowledge graphs for better results
Improve answers through synthesis
Projects
Internal documentation knowledge base
Tech support agent fetching relevant materials
Research assistant for literature review
Education system adjusting content per learner
Topics
RAG architecture basics
Dynamic search strategies
Query chunking
Knowledge graph use
Vector DB optimization
Iterative search and synthesis
Results
Design advanced RAG-agent systems
Apply context-based search strategies
Chunk queries effectively
Use knowledge graphs for better results
Improve answers through synthesis
Projects
Internal documentation knowledge base
Tech support agent fetching relevant materials
Research assistant for literature review
Education system adjusting content per learner
Module
5
Agent RAG
Topics
RAG architecture basics
Dynamic search strategies
Query chunking
Knowledge graph use
Vector DB optimization
Iterative search and synthesis
Results
Design advanced RAG-agent systems
Apply context-based search strategies
Chunk queries effectively
Use knowledge graphs for better results
Improve answers through synthesis
Projects
Internal documentation knowledge base
Tech support agent fetching relevant materials
Research assistant for literature review
Education system adjusting content per learner
Module
5
Agent RAG
Topics
RAG architecture basics
Dynamic search strategies
Query chunking
Knowledge graph use
Vector DB optimization
Iterative search and synthesis
Results
Design advanced RAG-agent systems
Apply context-based search strategies
Chunk queries effectively
Use knowledge graphs for better results
Improve answers through synthesis
Projects
Internal documentation knowledge base
Tech support agent fetching relevant materials
Research assistant for literature review
Education system adjusting content per learner
Topics
RAG architecture basics
Dynamic search strategies
Query chunking
Knowledge graph use
Vector DB optimization
Iterative search and synthesis
Results
Design advanced RAG-agent systems
Apply context-based search strategies
Chunk queries effectively
Use knowledge graphs for better results
Improve answers through synthesis
Projects
Internal documentation knowledge base
Tech support agent fetching relevant materials
Research assistant for literature review
Education system adjusting content per learner
Topics
RAG architecture basics
Dynamic search strategies
Query chunking
Knowledge graph use
Vector DB optimization
Iterative search and synthesis
Results
Design advanced RAG-agent systems
Apply context-based search strategies
Chunk queries effectively
Use knowledge graphs for better results
Improve answers through synthesis
Projects
Internal documentation knowledge base
Tech support agent fetching relevant materials
Research assistant for literature review
Education system adjusting content per learner
Topics
RAG architecture basics
Dynamic search strategies
Query chunking
Knowledge graph use
Vector DB optimization
Iterative search and synthesis
Results
Design advanced RAG-agent systems
Apply context-based search strategies
Chunk queries effectively
Use knowledge graphs for better results
Improve answers through synthesis
Projects
Internal documentation knowledge base
Tech support agent fetching relevant materials
Research assistant for literature review
Education system adjusting content per learner
Module
6
Multi-Agent Systems – Part 1
Topics
Designing multi-agent architectures
Defining roles and specializations
Communication protocols
Task coordination
Group decision-making
Agent debates and critique
Results
Build scalable multi-agent architectures
Assign precise roles
Ensure reliable inter-agent communication
Coordinate complex workflows
Enable joint decision-making
Projects
Specialized research/writing/editing team
Business analytics with multi-agent data flow
Product development agents for UX and design
Debate systems from multiple perspectives
Module
6
Multi-Agent Systems – Part 1
Topics
Designing multi-agent architectures
Defining roles and specializations
Communication protocols
Task coordination
Group decision-making
Agent debates and critique
Results
Build scalable multi-agent architectures
Assign precise roles
Ensure reliable inter-agent communication
Coordinate complex workflows
Enable joint decision-making
Projects
Specialized research/writing/editing team
Business analytics with multi-agent data flow
Product development agents for UX and design
Debate systems from multiple perspectives
Topics
Designing multi-agent architectures
Defining roles and specializations
Communication protocols
Task coordination
Group decision-making
Agent debates and critique
Results
Build scalable multi-agent architectures
Assign precise roles
Ensure reliable inter-agent communication
Coordinate complex workflows
Enable joint decision-making
Projects
Specialized research/writing/editing team
Business analytics with multi-agent data flow
Product development agents for UX and design
Debate systems from multiple perspectives
Topics
Designing multi-agent architectures
Defining roles and specializations
Communication protocols
Task coordination
Group decision-making
Agent debates and critique
Results
Build scalable multi-agent architectures
Assign precise roles
Ensure reliable inter-agent communication
Coordinate complex workflows
Enable joint decision-making
Projects
Specialized research/writing/editing team
Business analytics with multi-agent data flow
Product development agents for UX and design
Debate systems from multiple perspectives
Topics
Designing multi-agent architectures
Defining roles and specializations
Communication protocols
Task coordination
Group decision-making
Agent debates and critique
Results
Build scalable multi-agent architectures
Assign precise roles
Ensure reliable inter-agent communication
Coordinate complex workflows
Enable joint decision-making
Projects
Specialized research/writing/editing team
Business analytics with multi-agent data flow
Product development agents for UX and design
Debate systems from multiple perspectives
Module
6
Multi-Agent Systems – Part 1
Topics
Designing multi-agent architectures
Defining roles and specializations
Communication protocols
Task coordination
Group decision-making
Agent debates and critique
Results
Build scalable multi-agent architectures
Assign precise roles
Ensure reliable inter-agent communication
Coordinate complex workflows
Enable joint decision-making
Projects
Specialized research/writing/editing team
Business analytics with multi-agent data flow
Product development agents for UX and design
Debate systems from multiple perspectives
Module
6
Multi-Agent Systems – Part 1
Topics
Designing multi-agent architectures
Defining roles and specializations
Communication protocols
Task coordination
Group decision-making
Agent debates and critique
Results
Build scalable multi-agent architectures
Assign precise roles
Ensure reliable inter-agent communication
Coordinate complex workflows
Enable joint decision-making
Projects
Specialized research/writing/editing team
Business analytics with multi-agent data flow
Product development agents for UX and design
Debate systems from multiple perspectives
Topics
Designing multi-agent architectures
Defining roles and specializations
Communication protocols
Task coordination
Group decision-making
Agent debates and critique
Results
Build scalable multi-agent architectures
Assign precise roles
Ensure reliable inter-agent communication
Coordinate complex workflows
Enable joint decision-making
Projects
Specialized research/writing/editing team
Business analytics with multi-agent data flow
Product development agents for UX and design
Debate systems from multiple perspectives
Topics
Designing multi-agent architectures
Defining roles and specializations
Communication protocols
Task coordination
Group decision-making
Agent debates and critique
Results
Build scalable multi-agent architectures
Assign precise roles
Ensure reliable inter-agent communication
Coordinate complex workflows
Enable joint decision-making
Projects
Specialized research/writing/editing team
Business analytics with multi-agent data flow
Product development agents for UX and design
Debate systems from multiple perspectives
Topics
Designing multi-agent architectures
Defining roles and specializations
Communication protocols
Task coordination
Group decision-making
Agent debates and critique
Results
Build scalable multi-agent architectures
Assign precise roles
Ensure reliable inter-agent communication
Coordinate complex workflows
Enable joint decision-making
Projects
Specialized research/writing/editing team
Business analytics with multi-agent data flow
Product development agents for UX and design
Debate systems from multiple perspectives
Module
7
Multi-Agent Systems – Part 2
Topics
Advanced collaboration patterns
Shared memory and knowledge
Agent hierarchies
Conflict resolution
Ethics and safety
Team performance optimization
Results
Implement agent collaboration
Create reporting hierarchies
Resolve conflicts
Build ethical frameworks
Improve team performance
Projects
Supply chain negotiation agents
Dev team agents for testing and documentation
Strategic planning assistants
Creative brainstorming agents
Module
7
Multi-Agent Systems – Part 2
Topics
Advanced collaboration patterns
Shared memory and knowledge
Agent hierarchies
Conflict resolution
Ethics and safety
Team performance optimization
Results
Implement agent collaboration
Create reporting hierarchies
Resolve conflicts
Build ethical frameworks
Improve team performance
Projects
Supply chain negotiation agents
Dev team agents for testing and documentation
Strategic planning assistants
Creative brainstorming agents
Topics
Advanced collaboration patterns
Shared memory and knowledge
Agent hierarchies
Conflict resolution
Ethics and safety
Team performance optimization
Results
Implement agent collaboration
Create reporting hierarchies
Resolve conflicts
Build ethical frameworks
Improve team performance
Projects
Supply chain negotiation agents
Dev team agents for testing and documentation
Strategic planning assistants
Creative brainstorming agents
Topics
Advanced collaboration patterns
Shared memory and knowledge
Agent hierarchies
Conflict resolution
Ethics and safety
Team performance optimization
Results
Implement agent collaboration
Create reporting hierarchies
Resolve conflicts
Build ethical frameworks
Improve team performance
Projects
Supply chain negotiation agents
Dev team agents for testing and documentation
Strategic planning assistants
Creative brainstorming agents
Topics
Advanced collaboration patterns
Shared memory and knowledge
Agent hierarchies
Conflict resolution
Ethics and safety
Team performance optimization
Results
Implement agent collaboration
Create reporting hierarchies
Resolve conflicts
Build ethical frameworks
Improve team performance
Projects
Supply chain negotiation agents
Dev team agents for testing and documentation
Strategic planning assistants
Creative brainstorming agents
Module
7
Multi-Agent Systems – Part 2
Topics
Advanced collaboration patterns
Shared memory and knowledge
Agent hierarchies
Conflict resolution
Ethics and safety
Team performance optimization
Results
Implement agent collaboration
Create reporting hierarchies
Resolve conflicts
Build ethical frameworks
Improve team performance
Projects
Supply chain negotiation agents
Dev team agents for testing and documentation
Strategic planning assistants
Creative brainstorming agents
Module
7
Multi-Agent Systems – Part 2
Topics
Advanced collaboration patterns
Shared memory and knowledge
Agent hierarchies
Conflict resolution
Ethics and safety
Team performance optimization
Results
Implement agent collaboration
Create reporting hierarchies
Resolve conflicts
Build ethical frameworks
Improve team performance
Projects
Supply chain negotiation agents
Dev team agents for testing and documentation
Strategic planning assistants
Creative brainstorming agents
Topics
Advanced collaboration patterns
Shared memory and knowledge
Agent hierarchies
Conflict resolution
Ethics and safety
Team performance optimization
Results
Implement agent collaboration
Create reporting hierarchies
Resolve conflicts
Build ethical frameworks
Improve team performance
Projects
Supply chain negotiation agents
Dev team agents for testing and documentation
Strategic planning assistants
Creative brainstorming agents
Topics
Advanced collaboration patterns
Shared memory and knowledge
Agent hierarchies
Conflict resolution
Ethics and safety
Team performance optimization
Results
Implement agent collaboration
Create reporting hierarchies
Resolve conflicts
Build ethical frameworks
Improve team performance
Projects
Supply chain negotiation agents
Dev team agents for testing and documentation
Strategic planning assistants
Creative brainstorming agents
Topics
Advanced collaboration patterns
Shared memory and knowledge
Agent hierarchies
Conflict resolution
Ethics and safety
Team performance optimization
Results
Implement agent collaboration
Create reporting hierarchies
Resolve conflicts
Build ethical frameworks
Improve team performance
Projects
Supply chain negotiation agents
Dev team agents for testing and documentation
Strategic planning assistants
Creative brainstorming agents
Module
8
Evaluation
Topics
Agent system evaluation methods
Performance benchmarking
Quality and efficiency metrics
Automated test infrastructure
Human-in-the-loop testing
Stress testing
Results
Design evaluation frameworks
Benchmark system performance
Develop multi-metric scoring
Build test infrastructures
Create human-centered test protocols
Projects
Support agent evaluation framework
Fact-checking test agent
Architecture benchmark comparisons
Adversarial testing setup
Module
8
Evaluation
Topics
Agent system evaluation methods
Performance benchmarking
Quality and efficiency metrics
Automated test infrastructure
Human-in-the-loop testing
Stress testing
Results
Design evaluation frameworks
Benchmark system performance
Develop multi-metric scoring
Build test infrastructures
Create human-centered test protocols
Projects
Support agent evaluation framework
Fact-checking test agent
Architecture benchmark comparisons
Adversarial testing setup
Topics
Agent system evaluation methods
Performance benchmarking
Quality and efficiency metrics
Automated test infrastructure
Human-in-the-loop testing
Stress testing
Results
Design evaluation frameworks
Benchmark system performance
Develop multi-metric scoring
Build test infrastructures
Create human-centered test protocols
Projects
Support agent evaluation framework
Fact-checking test agent
Architecture benchmark comparisons
Adversarial testing setup
Topics
Agent system evaluation methods
Performance benchmarking
Quality and efficiency metrics
Automated test infrastructure
Human-in-the-loop testing
Stress testing
Results
Design evaluation frameworks
Benchmark system performance
Develop multi-metric scoring
Build test infrastructures
Create human-centered test protocols
Projects
Support agent evaluation framework
Fact-checking test agent
Architecture benchmark comparisons
Adversarial testing setup
Topics
Agent system evaluation methods
Performance benchmarking
Quality and efficiency metrics
Automated test infrastructure
Human-in-the-loop testing
Stress testing
Results
Design evaluation frameworks
Benchmark system performance
Develop multi-metric scoring
Build test infrastructures
Create human-centered test protocols
Projects
Support agent evaluation framework
Fact-checking test agent
Architecture benchmark comparisons
Adversarial testing setup
Module
8
Evaluation
Topics
Agent system evaluation methods
Performance benchmarking
Quality and efficiency metrics
Automated test infrastructure
Human-in-the-loop testing
Stress testing
Results
Design evaluation frameworks
Benchmark system performance
Develop multi-metric scoring
Build test infrastructures
Create human-centered test protocols
Projects
Support agent evaluation framework
Fact-checking test agent
Architecture benchmark comparisons
Adversarial testing setup
Module
8
Evaluation
Topics
Agent system evaluation methods
Performance benchmarking
Quality and efficiency metrics
Automated test infrastructure
Human-in-the-loop testing
Stress testing
Results
Design evaluation frameworks
Benchmark system performance
Develop multi-metric scoring
Build test infrastructures
Create human-centered test protocols
Projects
Support agent evaluation framework
Fact-checking test agent
Architecture benchmark comparisons
Adversarial testing setup
Topics
Agent system evaluation methods
Performance benchmarking
Quality and efficiency metrics
Automated test infrastructure
Human-in-the-loop testing
Stress testing
Results
Design evaluation frameworks
Benchmark system performance
Develop multi-metric scoring
Build test infrastructures
Create human-centered test protocols
Projects
Support agent evaluation framework
Fact-checking test agent
Architecture benchmark comparisons
Adversarial testing setup
Topics
Agent system evaluation methods
Performance benchmarking
Quality and efficiency metrics
Automated test infrastructure
Human-in-the-loop testing
Stress testing
Results
Design evaluation frameworks
Benchmark system performance
Develop multi-metric scoring
Build test infrastructures
Create human-centered test protocols
Projects
Support agent evaluation framework
Fact-checking test agent
Architecture benchmark comparisons
Adversarial testing setup
Topics
Agent system evaluation methods
Performance benchmarking
Quality and efficiency metrics
Automated test infrastructure
Human-in-the-loop testing
Stress testing
Results
Design evaluation frameworks
Benchmark system performance
Develop multi-metric scoring
Build test infrastructures
Create human-centered test protocols
Projects
Support agent evaluation framework
Fact-checking test agent
Architecture benchmark comparisons
Adversarial testing setup
Module
9
Monitoring
Topics
Agent monitoring design
Performance tracking
Error detection and alerts
Feedback loops
Cost and resource optimization
Compliance and safety
Results
Build scalable monitoring systems
Implement performance metrics
Detect errors with intelligent alarms
Create feedback systems
Optimize operating costs
Projects
Agent metrics dashboard
Anomaly detection system
Feedback collection tools
Cost-performance optimization tools
Module
9
Monitoring
Topics
Agent monitoring design
Performance tracking
Error detection and alerts
Feedback loops
Cost and resource optimization
Compliance and safety
Results
Build scalable monitoring systems
Implement performance metrics
Detect errors with intelligent alarms
Create feedback systems
Optimize operating costs
Projects
Agent metrics dashboard
Anomaly detection system
Feedback collection tools
Cost-performance optimization tools
Topics
Agent monitoring design
Performance tracking
Error detection and alerts
Feedback loops
Cost and resource optimization
Compliance and safety
Results
Build scalable monitoring systems
Implement performance metrics
Detect errors with intelligent alarms
Create feedback systems
Optimize operating costs
Projects
Agent metrics dashboard
Anomaly detection system
Feedback collection tools
Cost-performance optimization tools
Topics
Agent monitoring design
Performance tracking
Error detection and alerts
Feedback loops
Cost and resource optimization
Compliance and safety
Results
Build scalable monitoring systems
Implement performance metrics
Detect errors with intelligent alarms
Create feedback systems
Optimize operating costs
Projects
Agent metrics dashboard
Anomaly detection system
Feedback collection tools
Cost-performance optimization tools
Topics
Agent monitoring design
Performance tracking
Error detection and alerts
Feedback loops
Cost and resource optimization
Compliance and safety
Results
Build scalable monitoring systems
Implement performance metrics
Detect errors with intelligent alarms
Create feedback systems
Optimize operating costs
Projects
Agent metrics dashboard
Anomaly detection system
Feedback collection tools
Cost-performance optimization tools
Module
9
Monitoring
Topics
Agent monitoring design
Performance tracking
Error detection and alerts
Feedback loops
Cost and resource optimization
Compliance and safety
Results
Build scalable monitoring systems
Implement performance metrics
Detect errors with intelligent alarms
Create feedback systems
Optimize operating costs
Projects
Agent metrics dashboard
Anomaly detection system
Feedback collection tools
Cost-performance optimization tools
Module
9
Monitoring
Topics
Agent monitoring design
Performance tracking
Error detection and alerts
Feedback loops
Cost and resource optimization
Compliance and safety
Results
Build scalable monitoring systems
Implement performance metrics
Detect errors with intelligent alarms
Create feedback systems
Optimize operating costs
Projects
Agent metrics dashboard
Anomaly detection system
Feedback collection tools
Cost-performance optimization tools
Topics
Agent monitoring design
Performance tracking
Error detection and alerts
Feedback loops
Cost and resource optimization
Compliance and safety
Results
Build scalable monitoring systems
Implement performance metrics
Detect errors with intelligent alarms
Create feedback systems
Optimize operating costs
Projects
Agent metrics dashboard
Anomaly detection system
Feedback collection tools
Cost-performance optimization tools
Topics
Agent monitoring design
Performance tracking
Error detection and alerts
Feedback loops
Cost and resource optimization
Compliance and safety
Results
Build scalable monitoring systems
Implement performance metrics
Detect errors with intelligent alarms
Create feedback systems
Optimize operating costs
Projects
Agent metrics dashboard
Anomaly detection system
Feedback collection tools
Cost-performance optimization tools
Topics
Agent monitoring design
Performance tracking
Error detection and alerts
Feedback loops
Cost and resource optimization
Compliance and safety
Results
Build scalable monitoring systems
Implement performance metrics
Detect errors with intelligent alarms
Create feedback systems
Optimize operating costs
Projects
Agent metrics dashboard
Anomaly detection system
Feedback collection tools
Cost-performance optimization tools
Module
10
Deployment / Production with MCP
Topics
Production architecture
MCP protocol workflows
Scalability and reliability
Version control
Access and authorization management
API and integration patterns
Results
Design production-grade infrastructure
Build MCP-compliant systems
Scale and secure agent infrastructures
Automate deployment and versioning
Implement precise access controls
Projects
Enterprise MCP-compliant platform
High-reliability client assistant
Multi-agent CI/CD system
Secure agent infrastructure with auditing
Module
10
Deployment / Production with MCP
Topics
Production architecture
MCP protocol workflows
Scalability and reliability
Version control
Access and authorization management
API and integration patterns
Results
Design production-grade infrastructure
Build MCP-compliant systems
Scale and secure agent infrastructures
Automate deployment and versioning
Implement precise access controls
Projects
Enterprise MCP-compliant platform
High-reliability client assistant
Multi-agent CI/CD system
Secure agent infrastructure with auditing
Topics
Production architecture
MCP protocol workflows
Scalability and reliability
Version control
Access and authorization management
API and integration patterns
Results
Design production-grade infrastructure
Build MCP-compliant systems
Scale and secure agent infrastructures
Automate deployment and versioning
Implement precise access controls
Projects
Enterprise MCP-compliant platform
High-reliability client assistant
Multi-agent CI/CD system
Secure agent infrastructure with auditing
Topics
Production architecture
MCP protocol workflows
Scalability and reliability
Version control
Access and authorization management
API and integration patterns
Results
Design production-grade infrastructure
Build MCP-compliant systems
Scale and secure agent infrastructures
Automate deployment and versioning
Implement precise access controls
Projects
Enterprise MCP-compliant platform
High-reliability client assistant
Multi-agent CI/CD system
Secure agent infrastructure with auditing
Topics
Production architecture
MCP protocol workflows
Scalability and reliability
Version control
Access and authorization management
API and integration patterns
Results
Design production-grade infrastructure
Build MCP-compliant systems
Scale and secure agent infrastructures
Automate deployment and versioning
Implement precise access controls
Projects
Enterprise MCP-compliant platform
High-reliability client assistant
Multi-agent CI/CD system
Secure agent infrastructure with auditing
Module
10
Deployment / Production with MCP
Topics
Production architecture
MCP protocol workflows
Scalability and reliability
Version control
Access and authorization management
API and integration patterns
Results
Design production-grade infrastructure
Build MCP-compliant systems
Scale and secure agent infrastructures
Automate deployment and versioning
Implement precise access controls
Projects
Enterprise MCP-compliant platform
High-reliability client assistant
Multi-agent CI/CD system
Secure agent infrastructure with auditing
Module
10
Deployment / Production with MCP
Topics
Production architecture
MCP protocol workflows
Scalability and reliability
Version control
Access and authorization management
API and integration patterns
Results
Design production-grade infrastructure
Build MCP-compliant systems
Scale and secure agent infrastructures
Automate deployment and versioning
Implement precise access controls
Projects
Enterprise MCP-compliant platform
High-reliability client assistant
Multi-agent CI/CD system
Secure agent infrastructure with auditing
Topics
Production architecture
MCP protocol workflows
Scalability and reliability
Version control
Access and authorization management
API and integration patterns
Results
Design production-grade infrastructure
Build MCP-compliant systems
Scale and secure agent infrastructures
Automate deployment and versioning
Implement precise access controls
Projects
Enterprise MCP-compliant platform
High-reliability client assistant
Multi-agent CI/CD system
Secure agent infrastructure with auditing
Topics
Production architecture
MCP protocol workflows
Scalability and reliability
Version control
Access and authorization management
API and integration patterns
Results
Design production-grade infrastructure
Build MCP-compliant systems
Scale and secure agent infrastructures
Automate deployment and versioning
Implement precise access controls
Projects
Enterprise MCP-compliant platform
High-reliability client assistant
Multi-agent CI/CD system
Secure agent infrastructure with auditing
Topics
Production architecture
MCP protocol workflows
Scalability and reliability
Version control
Access and authorization management
API and integration patterns
Results
Design production-grade infrastructure
Build MCP-compliant systems
Scale and secure agent infrastructures
Automate deployment and versioning
Implement precise access controls
Projects
Enterprise MCP-compliant platform
High-reliability client assistant
Multi-agent CI/CD system
Secure agent infrastructure with auditing
Expand your portfolio with the following technologies:
LangChain
LangChain
LangGraph
LangGraph
Ollama
Ollama
LlamaParse
LlamaParse
LlamaIndex
LlamaIndex
AutoGen
AutoGen
Chainlit
Chainlit
AgentBench
AgentBench
ToolBench
ToolBench
Arcee
Arcee
Who will be teaching you
Instructor of the course
Konrad Banachewicz, PhD
Kaggle Grandmaster and a distinguished expert in the field of AI, Konrad is one of the most versatile and experienced professionals in the industry. He began his journey with AI over 20 years ago.
After earning his PhD from Vrije Universiteit in Amsterdam, where he focused on research into modeling extreme dependencies in credit risk, he began applying his skills to practical business problems.
Konrad has worked with prestigious financial institutions such as ABN AMRO, RBS, and ING, building machine learning solutions to solve key investment challenges. In 2015, he was invited to create the central data science team at eBay Classifieds Group. He currently works at IKEA AI Lab in Amsterdam as a Principal Data Scientist.
He has gone through all stages of the data product lifecycle — from understanding business requirements, through data acquisition and preprocessing, modeling, testing, and deployment, to presenting results to executive stakeholders.
Konrad has an impressive track record of building AI solutions across various industries — including high frequency trading, credit risk, agricultural yield forecasting, anomaly detection in industrial systems, recommendation optimization, and multimedia shopping assistants. His work in AI has been groundbreaking, especially in times when most businesses still viewed AI as a curiosity.
He’s passionate about knowledge sharing and mentoring young talent. A bestselling author of books on AI, he believes that the key to success lies not just in the ability to solve real-world problems, but also in understanding how to avoid common mistakes.
Outside of work, Konrad is an active participant in Kaggle competitions and trains in Krav Maga. He is someone who continuously strives for improvement — both professionally and personally.
Who will be teaching you
Instructor of the course
Konrad Banachewicz, PhD
Kaggle Grandmaster and a distinguished expert in the field of AI, Konrad is one of the most versatile and experienced professionals in the industry. He began his journey with AI over 20 years ago.
After earning his PhD from Vrije Universiteit in Amsterdam, where he focused on research into modeling extreme dependencies in credit risk, he began applying his skills to practical business problems.
Konrad has worked with prestigious financial institutions such as ABN AMRO, RBS, and ING, building machine learning solutions to solve key investment challenges. In 2015, he was invited to create the central data science team at eBay Classifieds Group. He currently works at IKEA AI Lab in Amsterdam as a Principal Data Scientist.
He has gone through all stages of the data product lifecycle — from understanding business requirements, through data acquisition and preprocessing, modeling, testing, and deployment, to presenting results to executive stakeholders.
Konrad has an impressive track record of building AI solutions across various industries — including high frequency trading, credit risk, agricultural yield forecasting, anomaly detection in industrial systems, recommendation optimization, and multimedia shopping assistants. His work in AI has been groundbreaking, especially in times when most businesses still viewed AI as a curiosity.
He’s passionate about knowledge sharing and mentoring young talent. A bestselling author of books on AI, he believes that the key to success lies not just in the ability to solve real-world problems, but also in understanding how to avoid common mistakes.
Outside of work, Konrad is an active participant in Kaggle competitions and trains in Krav Maga. He is someone who continuously strives for improvement — both professionally and personally.
Who will be teaching you
Instructor of the course
Konrad Banachewicz, PhD
Kaggle Grandmaster and a distinguished expert in the field of AI, Konrad is one of the most versatile and experienced professionals in the industry. He began his journey with AI over 20 years ago.
After earning his PhD from Vrije Universiteit in Amsterdam, where he focused on research into modeling extreme dependencies in credit risk, he began applying his skills to practical business problems.
Konrad has worked with prestigious financial institutions such as ABN AMRO, RBS, and ING, building machine learning solutions to solve key investment challenges. In 2015, he was invited to create the central data science team at eBay Classifieds Group. He currently works at IKEA AI Lab in Amsterdam as a Principal Data Scientist.
He has gone through all stages of the data product lifecycle — from understanding business requirements, through data acquisition and preprocessing, modeling, testing, and deployment, to presenting results to executive stakeholders.
Konrad has an impressive track record of building AI solutions across various industries — including high frequency trading, credit risk, agricultural yield forecasting, anomaly detection in industrial systems, recommendation optimization, and multimedia shopping assistants. His work in AI has been groundbreaking, especially in times when most businesses still viewed AI as a curiosity.
He’s passionate about knowledge sharing and mentoring young talent. A bestselling author of books on AI, he believes that the key to success lies not just in the ability to solve real-world problems, but also in understanding how to avoid common mistakes.
Outside of work, Konrad is an active participant in Kaggle competitions and trains in Krav Maga. He is someone who continuously strives for improvement — both professionally and personally.
Who will be teaching you
Instructor of the course
Konrad Banachewicz, PhD
Kaggle Grandmaster and a distinguished expert in the field of AI, Konrad is one of the most versatile and experienced professionals in the industry. He began his journey with AI over 20 years ago.
After earning his PhD from Vrije Universiteit in Amsterdam, where he focused on research into modeling extreme dependencies in credit risk, he began applying his skills to practical business problems.
Konrad has worked with prestigious financial institutions such as ABN AMRO, RBS, and ING, building machine learning solutions to solve key investment challenges. In 2015, he was invited to create the central data science team at eBay Classifieds Group. He currently works at IKEA AI Lab in Amsterdam as a Principal Data Scientist.
He has gone through all stages of the data product lifecycle — from understanding business requirements, through data acquisition and preprocessing, modeling, testing, and deployment, to presenting results to executive stakeholders.
Konrad has an impressive track record of building AI solutions across various industries — including high frequency trading, credit risk, agricultural yield forecasting, anomaly detection in industrial systems, recommendation optimization, and multimedia shopping assistants. His work in AI has been groundbreaking, especially in times when most businesses still viewed AI as a curiosity.
He’s passionate about knowledge sharing and mentoring young talent. A bestselling author of books on AI, he believes that the key to success lies not just in the ability to solve real-world problems, but also in understanding how to avoid common mistakes.
Outside of work, Konrad is an active participant in Kaggle competitions and trains in Krav Maga. He is someone who continuously strives for improvement — both professionally and personally.
What our clients say about us
Benjamin Kadzioch
Project Manager | Program Manager | AI Consultant | GenAI | AI Agents
✨ I am excited to share that I have received a new certificate 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 from Elephant AI! These were again 6 weeks of intensive coding experience confirmed by a final capstone project with a real working 𝐌𝐮𝐥𝐭𝐢-𝐀𝐠𝐞𝐧𝐭 𝐒𝐲𝐬𝐭𝐞𝐦 𝐟𝐨𝐫 𝐦𝐚𝐧𝐚𝐠𝐢𝐧𝐠 𝐜𝐨𝐦𝐩𝐥𝐞𝐱 𝐜𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐢𝐧𝐪𝐮𝐢𝐫𝐞𝐬 regarding:
- Product purchase
- Product complaint
- Product return
- Advanced company questions
The application was built within OpenAI's experimental framework 𝐒𝐰𝐚𝐫𝐦 which was double-awarded as 𝐁𝐞𝐬𝐭 𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 and 𝐁𝐞𝐬𝐭 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧. This confirms that the many hours spent for designing and building the solution were worth it.
🤖 All that gave me a practical insight into Designing, Implementing, Evaluating and Monitoring of 𝐒𝐢𝐧𝐠𝐥𝐞- 𝐚𝐧𝐝 𝐌𝐮𝐥𝐭𝐢-𝐒𝐭𝐞𝐩 𝐀𝐠𝐞𝐧𝐭𝐬, 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐑𝐀𝐆, 𝐌𝐮𝐥𝐭𝐢𝐦𝐨𝐝𝐚𝐥 𝐀𝐠𝐞𝐧𝐭𝐬, 𝐒𝐢𝐧𝐠𝐥𝐞- 𝐚𝐧𝐝 𝐌𝐮𝐥𝐭𝐢-𝐀𝐠𝐞𝐧𝐭𝐬 in different frameworks like CrewAI, AutoGen or previously mentioned 𝐒𝐰𝐚𝐫𝐦. This is an incredible tool to automate complex tasks like automatic:
- Data Analysis
- Stock Market Analysis
- Report Generation
- Blog Post Generation
- Meeting Preparation and Summary
- Monitoring of Competitor's Activities
- Planning (e.g. Travel Planner)
- Image / Chart Correction
- Data Extraction from Images
- Product Addition to Offering
- and more...
👏 Many thanks to Konrad Banachewicz and Maria Parysz again, this is also your success!
🚀 Now it is time to process all that gathered knowledge and build own applications. And in spring, after looking at AI from business and technical perspective, it is time to get familiar with the 𝐀𝐈 𝐀𝐂𝐓 with Kamil Hamelusz to take a look at AI from the law perspective!
Ariel Zgórski
IT Area Lead ➤ AI & Generative AI🔹Data Science🔹Cloud Solutions🔹Python🔹Project & Program Management🔹Backend Solutions🔹IoT / Smart Home / Smart City🔹ESG / Electromobility🔹VR & AR
I’ve just completed the AI Agents course from Elephant AI, led by Konrad Banachewicz, and I have to say—it was an intense and fascinating journey into the world of intelligent agents! 🚀
A New Era of AI Agents
AI agents are the future. The ability to create systems that think, plan, and act autonomously opens up completely new possibilities in automation, data analysis, and user interaction.
In this course, I had the chance to explore both the fundamentals and advanced techniques for building agents powered by LLMs.
Frameworks and Tools
🔹 LangChain, CrewAI – key frameworks for agent development. LangChain allows for complex reasoning workflows, while CrewAI enables coordination within multi-agent ecosystems.
🔹 AgentOps – for real-time monitoring and optimization of agent performance. Essential for debugging and efficiency tuning.
LLM Ecosystem & APIs
🔹 Cohere AI, Groq, Gemini, Google AI Studio – various AI models with unique capabilities, which I tested for reasoning and content generation.
🔹 Ollama, LlamaParse – great tools for running LLMs locally and processing documents efficiently.
🔹 Tavily, Serper API, Apify – integrations for retrieving and processing real-time web data—key for agents that interact with the outside world.
The Magic of Reasoning
What impressed me most was the reasoning logs—being able to observe how an agent analyzes a problem, makes decisions, and adjusts its strategy. It’s not just engineering—it feels like magic! 🔮
Big thanks to Konrad, Elephant AI, and Maria Parysz for this fantastic course. It didn’t just open doors—it gave me solid tools to help build the future of AI.
Mirosław Kowalczyk
System Analysis Expert at Sygnity S.A.
The past weeks and months have been an intense time for me when it comes to artificial intelligence (AI).
I’ve just completed the “AI Agents” course from Elephant AI, led by Konrad Banachewicz, and interestingly—I did it with two distinctions: “Best Implementation” and “Best Technical Documentation”. 🚀
Konrad, thank you for this hands-on AI adventure. 😀
From my perspective, the training is very well designed and provides solid knowledge about AI, while also helping to deepen Python coding skills in the context of building AI solutions (with a very wide range of possible applications).
What I’ve learned from Elephant AI is how to ask more specific questions and find the answers—and I believe that’s the most important skill in any field you want to dive into.
We all know AI is evolving at a rapid pace, and it’s worth learning how to keep up. In my opinion, the Elephant AI courses do a great job of preparing you for that.
Maciej Węgrzynek
Senior Frontend/Fullstack Developer with over 18 years of professional experience
I completed the 6-week AI Agents course from Elephant AI, led by the one and only Konrad Banachewicz! 🚀
I got to know key frameworks like LangChain and CrewAI, as well as tools for monitoring and optimizing agent performance such as AgentOps. I tested various AI models (Cohere AI, Gemini, Google AI Studio) and API integrations (Tavily, Serper API, Apify), which open up new possibilities in automation and data analysis.
For my final project, I designed an agent to improve competitor activity monitoring and market trend analysis. 🔮
Thank you to Konrad, Elephant AI, and Maria Parysz for this inspiring experience.
Grzegorz Józefiak
IT Project manager, AI Manager
"Everything seems simple—until you have to do it yourself."
This motto helps engineers keep a healthy distance from the essence of things.
AI agents—the latest trend in artificial intelligence—remind me of something from years ago: outsourcing. Back then, there was the same wave of optimism: cost reduction, efficiency gains, and so on. And yet many companies were surprised to find that outsourcing partners expected our processes to be clearly defined, structured, and well-documented... because automation only works in an orderly environment.
Will it be the same with AI agents? What risks come with using this technology? How should we approach it? What tools should we use? What are the near- and long-term costs? What’s the real business efficiency? And what about the social consequences?
Outsourcing has now firmly settled into the business world. Will AI agents follow the same path?
You can't answer these questions without a deep understanding of agent technologies—and without having tried to build something yourself.
I can now say with great satisfaction that after completing the “AI Agents: Solutions for the Future” course, I’ve expanded the range of engineering questions I ask. More importantly, I feel like I know where to look for the answers. Whether that’s true or just a feeling—time will tell. But one thing is certain: I’ve organized my knowledge and gained valuable new experience.
This 6-week course was led by Konrad Banachewicz, and for the final project I built a multi-agent system that gave me tremendous satisfaction. It was awarded “Best Implementation” and now serves as a strong foundation for developing a production-ready solution.
Huge thanks to Konrad Banachewicz, Maria Parysz, and the Elephant AI team for this incredible journey.
Key words: substance, practicality, realism, and brilliantly guided learning—in my view, they perfectly capture the spirit of this course.
Damian Augustyn
Technical Product Manager | +5 years in tech | AI practitioner | PMI-ACP | PSPO II
I'm happy to share that I’ve just completed the 6-week course “#AI Agents – Tools of the Future” led by Konrad Banachewicz, as part of the Elephant AI program. 🤖
I earned my certificate by designing an AI agent that automatically adds new products to an e-commerce store. The system can recognize product names and analyze images to independently generate product listings.
What did I learn?
✔️ How to design reasoning flows and test various language models
✔️ How to use the ReAct approach combined with RAG to build systems that integrate generative capabilities with precise data retrieval
✔️ How to monitor agent performance in real time
✔️ How to manage multi-agent systems
✔️ How to integrate agents with APIs to enable real-world data usage
Frameworks and Tools:
🔹 #CrewAI – a framework that enables efficient management of multiple agents
🔹 #LangChain – a powerful tool for building advanced reasoning workflows
🔹 #AgentOps – a practical solution for monitoring and optimizing agent performance
Models and Technologies I worked with:
🔹 #CohereAI, #Claude, #Groq, #Gemini – different models with diverse strengths in analysis and content generation
🔹 #Tavily, #SerperAPI, #Apify – integrations that support data collection and processing from the web
🔹 #Ollama, #LlamaParse – tools for local model deployment and document parsing
A big thank you
Sincere thanks to Konrad Banachewicz, the Elephant AI team, and Maria Parysz for such an inspiring course. It was a fantastic opportunity to grow my skills and gain knowledge that I can now turn into real-world solutions.
Dawid Marniok
DevOps Lead / Architect at CSHARK
🎓 I’ve just completed the intensive 6-week program "AI Agents: Solutions for the Future™" from Elephant AI!
The program was truly intense:
➡️ 22 hours of workshops
➡️ 10 modules with individual tests
➡️ A final project to put all skills into practice
➡️ Tons of hands-on knowledge about AI Agents
What mattered most to me? Each module required applying the knowledge in practice, and the final project had to demonstrate a real business use case for AI Agents.
The training only confirmed what we probably all already know—the potential of this technology is enormous 🙂
Huge thanks to the entire Elephant AI team, and especially to Konrad Banachewicz and Maria Parysz for their excellent leadership and expert support! 🙌
Seweryn Rogut
3D Point cloud data | Photogrammetry | Project manager | AI Enthusiast
GenAI™ + AI Agents – completed! 🤖💡
Over the past 12 weeks, I took part in two intensive courses organized by Elephant AI and led by Konrad Banachewicz and Maria Parysz. These trainings were not only an opportunity to gain new knowledge, but also to apply artificial intelligence in real, practical ways.
During the courses, I learned how to:
➡️ Fine-tune language models (LLMs) – allowing for the adaptation of large models to specific business needs and use cases.
➡️ Use RAG techniques (Retrieval-Augmented Generation) – effectively combining LLMs with external data sources to provide precise, context-aware responses.
➡️ Build advanced multi-agent solutions – enabling the automation of complex processes through intelligent agents collaborating on dedicated tasks.
➡️ Implement and monitor AI in the cloud – essential skills for scaling AI projects and ensuring performance and reliability in production environments.
As my final project, I created an intelligent customer service assistant that automates purchase, complaint, and return processes—streamlining operations and improving the customer experience. The project was recognized with a Best Practical Application badge – nothing huge, but it definitely made me smile 😁.
The time I spent with Elephant AI was not only inspiring but also full of challenges and rewarding moments. These courses helped me expand my AI skill set and gain valuable hands-on experience.
Konrad Juszczuk
Digital Transformation | Controlling Solutions | AI | Business Analyst | Financial Controller
A year ago, I began an exciting journey into advanced technology with the 'AI for Managers' course organized by Elephant AI, guided by the inspiring Maria Parysz and Konrad Banachewicz. This foundational experience prepared me for the 'GenAI Code' course, where I gained hands-on coding skills and practical knowledge of implementing AI in real-world scenarios. Most recently, I completed the 'AI Agents: Solutions for the Future' course, marking a significant step in my professional growth.
I’m truly honored that my final project was recognized and awarded by Konrad Banachewicz. This achievement fuels my passion for leveraging AI and data-driven strategies to deliver meaningful business outcomes. It’s an exciting start to a journey filled with opportunities, and I’m eager to collaborate on real-world challenges with confidence and innovation.
Kamil Winiarski
Senior Technical Support Specialist | AI Enthusiast | Exploring the Future of Machine Learning and A
A few days ago I completed the intensive “AI Agents” course organized by Elephant AI and led by 😎 Konrad Banachewicz
It was a fascinating journey into the world of intelligent agents, full of challenges and inspiration! 🚀
🧐 During 6 weeks of intensive work:
🔹 I explored the architecture of AI Agents, their applications in real business contexts, and their structural design
🔹 I deepened my understanding of integrating AI Agents with RAG and data analysis tools
🔹 One of the most valuable takeaways was hands-on experience in building multi-agent systems that combine collaboration and efficiency
The future of AI agents 🚀
The ability to build autonomous systems that can plan, analyze, and act independently opens up completely new possibilities in automation, reasoning, and user interaction.
During the course, I had the chance to dive into both the basics and more advanced methods of building solutions based on LLMs.
🤘 Frameworks and tools 🤘
🤖 LangChain, CrewAI – the foundation for building agents. LangChain supports complex reasoning flows, while CrewAI enables collaboration between multiple agents in one ecosystem.
🤖 AgentOps – indispensable for monitoring and optimizing agent performance in real time, especially helpful for debugging and improving efficiency.
🤖 LLM ecosystem and APIs
Cohere AI, Groq, Gemini, Google AI Studio – I tested various AI models to find optimal solutions for analysis and content generation.
Ollama, Llama Parse – great for running large language models locally and processing documents.
Tavily, Serper API, Apify – essential integrations for retrieving and processing real-time web data, allowing agents to work with up-to-date information.
The phenomenon of reasoning
What impressed me most was the ability to observe how the AI agent analyzes a problem step by step, formulates decisions, and adapts its strategy. It’s a truly magical experience! 🔮
Huge thanks to Konrad Banachewicz, Maria Parysz, and the whole Elephant AI team. Thanks to them, this course not only opened new doors for me, but also gave me practical tools to help shape the future of AI.
Anna Radulska-Cieliczko
Head of Organizational Division with Experience in Cultural Event Management
For 6 weeks, I explored the world of artificial intelligence—from theory to practice. The course included intensive coding sessions, tests, and a final project that gave me the opportunity to apply what I had learned.
Sincere thanks to Konrad Banachewicz and Maria Parysz, as well as the entire Elephant AI team, for the inspiring materials, ongoing support, and the passion you share with your students!
I’m ready to put this knowledge into action in my daily work and to keep exploring the new opportunities AI has to offer.
If you're thinking about getting into AI, I highly recommend this course!
Benjamin Kadzioch
Project Manager | Program Manager | AI Consultant | GenAI | AI Agents
✨ I am excited to share that I have received a new certificate 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 from Elephant AI! These were again 6 weeks of intensive coding experience confirmed by a final capstone project with a real working 𝐌𝐮𝐥𝐭𝐢-𝐀𝐠𝐞𝐧𝐭 𝐒𝐲𝐬𝐭𝐞𝐦 𝐟𝐨𝐫 𝐦𝐚𝐧𝐚𝐠𝐢𝐧𝐠 𝐜𝐨𝐦𝐩𝐥𝐞𝐱 𝐜𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐢𝐧𝐪𝐮𝐢𝐫𝐞𝐬 regarding:
- Product purchase
- Product complaint
- Product return
- Advanced company questions
The application was built within OpenAI's experimental framework 𝐒𝐰𝐚𝐫𝐦 which was double-awarded as 𝐁𝐞𝐬𝐭 𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 and 𝐁𝐞𝐬𝐭 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧. This confirms that the many hours spent for designing and building the solution were worth it.
🤖 All that gave me a practical insight into Designing, Implementing, Evaluating and Monitoring of 𝐒𝐢𝐧𝐠𝐥𝐞- 𝐚𝐧𝐝 𝐌𝐮𝐥𝐭𝐢-𝐒𝐭𝐞𝐩 𝐀𝐠𝐞𝐧𝐭𝐬, 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐑𝐀𝐆, 𝐌𝐮𝐥𝐭𝐢𝐦𝐨𝐝𝐚𝐥 𝐀𝐠𝐞𝐧𝐭𝐬, 𝐒𝐢𝐧𝐠𝐥𝐞- 𝐚𝐧𝐝 𝐌𝐮𝐥𝐭𝐢-𝐀𝐠𝐞𝐧𝐭𝐬 in different frameworks like CrewAI, AutoGen or previously mentioned 𝐒𝐰𝐚𝐫𝐦. This is an incredible tool to automate complex tasks like automatic:
- Data Analysis
- Stock Market Analysis
- Report Generation
- Blog Post Generation
- Meeting Preparation and Summary
- Monitoring of Competitor's Activities
- Planning (e.g. Travel Planner)
- Image / Chart Correction
- Data Extraction from Images
- Product Addition to Offering
- and more...
👏 Many thanks to Konrad Banachewicz and Maria Parysz again, this is also your success!
🚀 Now it is time to process all that gathered knowledge and build own applications. And in spring, after looking at AI from business and technical perspective, it is time to get familiar with the 𝐀𝐈 𝐀𝐂𝐓 with Kamil Hamelusz to take a look at AI from the law perspective!
Konrad Juszczuk
Digital Transformation | Controlling Solutions | AI | Business Analyst | Financial Controller
A year ago, I began an exciting journey into advanced technology with the 'AI for Managers' course organized by Elephant AI, guided by the inspiring Maria Parysz and Konrad Banachewicz. This foundational experience prepared me for the 'GenAI Code' course, where I gained hands-on coding skills and practical knowledge of implementing AI in real-world scenarios. Most recently, I completed the 'AI Agents: Solutions for the Future' course, marking a significant step in my professional growth.
I’m truly honored that my final project was recognized and awarded by Konrad Banachewicz. This achievement fuels my passion for leveraging AI and data-driven strategies to deliver meaningful business outcomes. It’s an exciting start to a journey filled with opportunities, and I’m eager to collaborate on real-world challenges with confidence and innovation.
Damian Augustyn
Technical Product Manager | +5 years in tech | AI practitioner | PMI-ACP | PSPO II
I'm happy to share that I’ve just completed the 6-week course “#AI Agents – Tools of the Future” led by Konrad Banachewicz, as part of the Elephant AI program. 🤖
I earned my certificate by designing an AI agent that automatically adds new products to an e-commerce store. The system can recognize product names and analyze images to independently generate product listings.
What did I learn?
✔️ How to design reasoning flows and test various language models
✔️ How to use the ReAct approach combined with RAG to build systems that integrate generative capabilities with precise data retrieval
✔️ How to monitor agent performance in real time
✔️ How to manage multi-agent systems
✔️ How to integrate agents with APIs to enable real-world data usage
Frameworks and Tools:
🔹 #CrewAI – a framework that enables efficient management of multiple agents
🔹 #LangChain – a powerful tool for building advanced reasoning workflows
🔹 #AgentOps – a practical solution for monitoring and optimizing agent performance
Models and Technologies I worked with:
🔹 #CohereAI, #Claude, #Groq, #Gemini – different models with diverse strengths in analysis and content generation
🔹 #Tavily, #SerperAPI, #Apify – integrations that support data collection and processing from the web
🔹 #Ollama, #LlamaParse – tools for local model deployment and document parsing
A big thank you
Sincere thanks to Konrad Banachewicz, the Elephant AI team, and Maria Parysz for such an inspiring course. It was a fantastic opportunity to grow my skills and gain knowledge that I can now turn into real-world solutions.
Mirosław Kowalczyk
System Analysis Expert at Sygnity S.A.
The past weeks and months have been an intense time for me when it comes to artificial intelligence (AI).
I’ve just completed the “AI Agents” course from Elephant AI, led by Konrad Banachewicz, and interestingly—I did it with two distinctions: “Best Implementation” and “Best Technical Documentation”. 🚀
Konrad, thank you for this hands-on AI adventure. 😀
From my perspective, the training is very well designed and provides solid knowledge about AI, while also helping to deepen Python coding skills in the context of building AI solutions (with a very wide range of possible applications).
What I’ve learned from Elephant AI is how to ask more specific questions and find the answers—and I believe that’s the most important skill in any field you want to dive into.
We all know AI is evolving at a rapid pace, and it’s worth learning how to keep up. In my opinion, the Elephant AI courses do a great job of preparing you for that.
Anna Radulska-Cieliczko
Head of Organizational Division with Experience in Cultural Event Management
For 6 weeks, I explored the world of artificial intelligence—from theory to practice. The course included intensive coding sessions, tests, and a final project that gave me the opportunity to apply what I had learned.
Sincere thanks to Konrad Banachewicz and Maria Parysz, as well as the entire Elephant AI team, for the inspiring materials, ongoing support, and the passion you share with your students!
I’m ready to put this knowledge into action in my daily work and to keep exploring the new opportunities AI has to offer.
If you're thinking about getting into AI, I highly recommend this course!
Seweryn Rogut
3D Point cloud data | Photogrammetry | Project manager | AI Enthusiast
GenAI™ + AI Agents – completed! 🤖💡
Over the past 12 weeks, I took part in two intensive courses organized by Elephant AI and led by Konrad Banachewicz and Maria Parysz. These trainings were not only an opportunity to gain new knowledge, but also to apply artificial intelligence in real, practical ways.
During the courses, I learned how to:
➡️ Fine-tune language models (LLMs) – allowing for the adaptation of large models to specific business needs and use cases.
➡️ Use RAG techniques (Retrieval-Augmented Generation) – effectively combining LLMs with external data sources to provide precise, context-aware responses.
➡️ Build advanced multi-agent solutions – enabling the automation of complex processes through intelligent agents collaborating on dedicated tasks.
➡️ Implement and monitor AI in the cloud – essential skills for scaling AI projects and ensuring performance and reliability in production environments.
As my final project, I created an intelligent customer service assistant that automates purchase, complaint, and return processes—streamlining operations and improving the customer experience. The project was recognized with a Best Practical Application badge – nothing huge, but it definitely made me smile 😁.
The time I spent with Elephant AI was not only inspiring but also full of challenges and rewarding moments. These courses helped me expand my AI skill set and gain valuable hands-on experience.
Grzegorz Józefiak
IT Project manager, AI Manager
"Everything seems simple—until you have to do it yourself."
This motto helps engineers keep a healthy distance from the essence of things.
AI agents—the latest trend in artificial intelligence—remind me of something from years ago: outsourcing. Back then, there was the same wave of optimism: cost reduction, efficiency gains, and so on. And yet many companies were surprised to find that outsourcing partners expected our processes to be clearly defined, structured, and well-documented... because automation only works in an orderly environment.
Will it be the same with AI agents? What risks come with using this technology? How should we approach it? What tools should we use? What are the near- and long-term costs? What’s the real business efficiency? And what about the social consequences?
Outsourcing has now firmly settled into the business world. Will AI agents follow the same path?
You can't answer these questions without a deep understanding of agent technologies—and without having tried to build something yourself.
I can now say with great satisfaction that after completing the “AI Agents: Solutions for the Future” course, I’ve expanded the range of engineering questions I ask. More importantly, I feel like I know where to look for the answers. Whether that’s true or just a feeling—time will tell. But one thing is certain: I’ve organized my knowledge and gained valuable new experience.
This 6-week course was led by Konrad Banachewicz, and for the final project I built a multi-agent system that gave me tremendous satisfaction. It was awarded “Best Implementation” and now serves as a strong foundation for developing a production-ready solution.
Huge thanks to Konrad Banachewicz, Maria Parysz, and the Elephant AI team for this incredible journey.
Key words: substance, practicality, realism, and brilliantly guided learning—in my view, they perfectly capture the spirit of this course.
Ariel Zgórski
IT Area Lead ➤ AI & Generative AI🔹Data Science🔹Cloud Solutions🔹Python🔹Project & Program Management🔹Backend Solutions🔹IoT / Smart Home / Smart City🔹ESG / Electromobility🔹VR & AR
I’ve just completed the AI Agents course from Elephant AI, led by Konrad Banachewicz, and I have to say—it was an intense and fascinating journey into the world of intelligent agents! 🚀
A New Era of AI Agents
AI agents are the future. The ability to create systems that think, plan, and act autonomously opens up completely new possibilities in automation, data analysis, and user interaction.
In this course, I had the chance to explore both the fundamentals and advanced techniques for building agents powered by LLMs.
Frameworks and Tools
🔹 LangChain, CrewAI – key frameworks for agent development. LangChain allows for complex reasoning workflows, while CrewAI enables coordination within multi-agent ecosystems.
🔹 AgentOps – for real-time monitoring and optimization of agent performance. Essential for debugging and efficiency tuning.
LLM Ecosystem & APIs
🔹 Cohere AI, Groq, Gemini, Google AI Studio – various AI models with unique capabilities, which I tested for reasoning and content generation.
🔹 Ollama, LlamaParse – great tools for running LLMs locally and processing documents efficiently.
🔹 Tavily, Serper API, Apify – integrations for retrieving and processing real-time web data—key for agents that interact with the outside world.
The Magic of Reasoning
What impressed me most was the reasoning logs—being able to observe how an agent analyzes a problem, makes decisions, and adjusts its strategy. It’s not just engineering—it feels like magic! 🔮
Big thanks to Konrad, Elephant AI, and Maria Parysz for this fantastic course. It didn’t just open doors—it gave me solid tools to help build the future of AI.
Kamil Winiarski
Senior Technical Support Specialist | AI Enthusiast | Exploring the Future of Machine Learning and A
A few days ago I completed the intensive “AI Agents” course organized by Elephant AI and led by 😎 Konrad Banachewicz
It was a fascinating journey into the world of intelligent agents, full of challenges and inspiration! 🚀
🧐 During 6 weeks of intensive work:
🔹 I explored the architecture of AI Agents, their applications in real business contexts, and their structural design
🔹 I deepened my understanding of integrating AI Agents with RAG and data analysis tools
🔹 One of the most valuable takeaways was hands-on experience in building multi-agent systems that combine collaboration and efficiency
The future of AI agents 🚀
The ability to build autonomous systems that can plan, analyze, and act independently opens up completely new possibilities in automation, reasoning, and user interaction.
During the course, I had the chance to dive into both the basics and more advanced methods of building solutions based on LLMs.
🤘 Frameworks and tools 🤘
🤖 LangChain, CrewAI – the foundation for building agents. LangChain supports complex reasoning flows, while CrewAI enables collaboration between multiple agents in one ecosystem.
🤖 AgentOps – indispensable for monitoring and optimizing agent performance in real time, especially helpful for debugging and improving efficiency.
🤖 LLM ecosystem and APIs
Cohere AI, Groq, Gemini, Google AI Studio – I tested various AI models to find optimal solutions for analysis and content generation.
Ollama, Llama Parse – great for running large language models locally and processing documents.
Tavily, Serper API, Apify – essential integrations for retrieving and processing real-time web data, allowing agents to work with up-to-date information.
The phenomenon of reasoning
What impressed me most was the ability to observe how the AI agent analyzes a problem step by step, formulates decisions, and adapts its strategy. It’s a truly magical experience! 🔮
Huge thanks to Konrad Banachewicz, Maria Parysz, and the whole Elephant AI team. Thanks to them, this course not only opened new doors for me, but also gave me practical tools to help shape the future of AI.
Dawid Marniok
DevOps Lead / Architect at CSHARK
🎓 I’ve just completed the intensive 6-week program "AI Agents: Solutions for the Future™" from Elephant AI!
The program was truly intense:
➡️ 22 hours of workshops
➡️ 10 modules with individual tests
➡️ A final project to put all skills into practice
➡️ Tons of hands-on knowledge about AI Agents
What mattered most to me? Each module required applying the knowledge in practice, and the final project had to demonstrate a real business use case for AI Agents.
The training only confirmed what we probably all already know—the potential of this technology is enormous 🙂
Huge thanks to the entire Elephant AI team, and especially to Konrad Banachewicz and Maria Parysz for their excellent leadership and expert support! 🙌
Maciej Węgrzynek
Senior Frontend/Fullstack Developer with over 18 years of professional experience
I completed the 6-week AI Agents course from Elephant AI, led by the one and only Konrad Banachewicz! 🚀
I got to know key frameworks like LangChain and CrewAI, as well as tools for monitoring and optimizing agent performance such as AgentOps. I tested various AI models (Cohere AI, Gemini, Google AI Studio) and API integrations (Tavily, Serper API, Apify), which open up new possibilities in automation and data analysis.
For my final project, I designed an agent to improve competitor activity monitoring and market trend analysis. 🔮
Thank you to Konrad, Elephant AI, and Maria Parysz for this inspiring experience.
Benjamin Kadzioch
Project Manager | Program Manager | AI Consultant | GenAI | AI Agents
✨ I am excited to share that I have received a new certificate 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 from Elephant AI! These were again 6 weeks of intensive coding experience confirmed by a final capstone project with a real working 𝐌𝐮𝐥𝐭𝐢-𝐀𝐠𝐞𝐧𝐭 𝐒𝐲𝐬𝐭𝐞𝐦 𝐟𝐨𝐫 𝐦𝐚𝐧𝐚𝐠𝐢𝐧𝐠 𝐜𝐨𝐦𝐩𝐥𝐞𝐱 𝐜𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐢𝐧𝐪𝐮𝐢𝐫𝐞𝐬 regarding:
- Product purchase
- Product complaint
- Product return
- Advanced company questions
The application was built within OpenAI's experimental framework 𝐒𝐰𝐚𝐫𝐦 which was double-awarded as 𝐁𝐞𝐬𝐭 𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 and 𝐁𝐞𝐬𝐭 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧. This confirms that the many hours spent for designing and building the solution were worth it.
🤖 All that gave me a practical insight into Designing, Implementing, Evaluating and Monitoring of 𝐒𝐢𝐧𝐠𝐥𝐞- 𝐚𝐧𝐝 𝐌𝐮𝐥𝐭𝐢-𝐒𝐭𝐞𝐩 𝐀𝐠𝐞𝐧𝐭𝐬, 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐑𝐀𝐆, 𝐌𝐮𝐥𝐭𝐢𝐦𝐨𝐝𝐚𝐥 𝐀𝐠𝐞𝐧𝐭𝐬, 𝐒𝐢𝐧𝐠𝐥𝐞- 𝐚𝐧𝐝 𝐌𝐮𝐥𝐭𝐢-𝐀𝐠𝐞𝐧𝐭𝐬 in different frameworks like CrewAI, AutoGen or previously mentioned 𝐒𝐰𝐚𝐫𝐦. This is an incredible tool to automate complex tasks like automatic:
- Data Analysis
- Stock Market Analysis
- Report Generation
- Blog Post Generation
- Meeting Preparation and Summary
- Monitoring of Competitor's Activities
- Planning (e.g. Travel Planner)
- Image / Chart Correction
- Data Extraction from Images
- Product Addition to Offering
- and more...
👏 Many thanks to Konrad Banachewicz and Maria Parysz again, this is also your success!
🚀 Now it is time to process all that gathered knowledge and build own applications. And in spring, after looking at AI from business and technical perspective, it is time to get familiar with the 𝐀𝐈 𝐀𝐂𝐓 with Kamil Hamelusz to take a look at AI from the law perspective!
Grzegorz Józefiak
IT Project manager, AI Manager
"Everything seems simple—until you have to do it yourself."
This motto helps engineers keep a healthy distance from the essence of things.
AI agents—the latest trend in artificial intelligence—remind me of something from years ago: outsourcing. Back then, there was the same wave of optimism: cost reduction, efficiency gains, and so on. And yet many companies were surprised to find that outsourcing partners expected our processes to be clearly defined, structured, and well-documented... because automation only works in an orderly environment.
Will it be the same with AI agents? What risks come with using this technology? How should we approach it? What tools should we use? What are the near- and long-term costs? What’s the real business efficiency? And what about the social consequences?
Outsourcing has now firmly settled into the business world. Will AI agents follow the same path?
You can't answer these questions without a deep understanding of agent technologies—and without having tried to build something yourself.
I can now say with great satisfaction that after completing the “AI Agents: Solutions for the Future” course, I’ve expanded the range of engineering questions I ask. More importantly, I feel like I know where to look for the answers. Whether that’s true or just a feeling—time will tell. But one thing is certain: I’ve organized my knowledge and gained valuable new experience.
This 6-week course was led by Konrad Banachewicz, and for the final project I built a multi-agent system that gave me tremendous satisfaction. It was awarded “Best Implementation” and now serves as a strong foundation for developing a production-ready solution.
Huge thanks to Konrad Banachewicz, Maria Parysz, and the Elephant AI team for this incredible journey.
Key words: substance, practicality, realism, and brilliantly guided learning—in my view, they perfectly capture the spirit of this course.
Konrad Juszczuk
Digital Transformation | Controlling Solutions | AI | Business Analyst | Financial Controller
A year ago, I began an exciting journey into advanced technology with the 'AI for Managers' course organized by Elephant AI, guided by the inspiring Maria Parysz and Konrad Banachewicz. This foundational experience prepared me for the 'GenAI Code' course, where I gained hands-on coding skills and practical knowledge of implementing AI in real-world scenarios. Most recently, I completed the 'AI Agents: Solutions for the Future' course, marking a significant step in my professional growth.
I’m truly honored that my final project was recognized and awarded by Konrad Banachewicz. This achievement fuels my passion for leveraging AI and data-driven strategies to deliver meaningful business outcomes. It’s an exciting start to a journey filled with opportunities, and I’m eager to collaborate on real-world challenges with confidence and innovation.
Ariel Zgórski
IT Area Lead ➤ AI & Generative AI🔹Data Science🔹Cloud Solutions🔹Python🔹Project & Program Management🔹Backend Solutions🔹IoT / Smart Home / Smart City🔹ESG / Electromobility🔹VR & AR
I’ve just completed the AI Agents course from Elephant AI, led by Konrad Banachewicz, and I have to say—it was an intense and fascinating journey into the world of intelligent agents! 🚀
A New Era of AI Agents
AI agents are the future. The ability to create systems that think, plan, and act autonomously opens up completely new possibilities in automation, data analysis, and user interaction.
In this course, I had the chance to explore both the fundamentals and advanced techniques for building agents powered by LLMs.
Frameworks and Tools
🔹 LangChain, CrewAI – key frameworks for agent development. LangChain allows for complex reasoning workflows, while CrewAI enables coordination within multi-agent ecosystems.
🔹 AgentOps – for real-time monitoring and optimization of agent performance. Essential for debugging and efficiency tuning.
LLM Ecosystem & APIs
🔹 Cohere AI, Groq, Gemini, Google AI Studio – various AI models with unique capabilities, which I tested for reasoning and content generation.
🔹 Ollama, LlamaParse – great tools for running LLMs locally and processing documents efficiently.
🔹 Tavily, Serper API, Apify – integrations for retrieving and processing real-time web data—key for agents that interact with the outside world.
The Magic of Reasoning
What impressed me most was the reasoning logs—being able to observe how an agent analyzes a problem, makes decisions, and adjusts its strategy. It’s not just engineering—it feels like magic! 🔮
Big thanks to Konrad, Elephant AI, and Maria Parysz for this fantastic course. It didn’t just open doors—it gave me solid tools to help build the future of AI.
Damian Augustyn
Technical Product Manager | +5 years in tech | AI practitioner | PMI-ACP | PSPO II
I'm happy to share that I’ve just completed the 6-week course “#AI Agents – Tools of the Future” led by Konrad Banachewicz, as part of the Elephant AI program. 🤖
I earned my certificate by designing an AI agent that automatically adds new products to an e-commerce store. The system can recognize product names and analyze images to independently generate product listings.
What did I learn?
✔️ How to design reasoning flows and test various language models
✔️ How to use the ReAct approach combined with RAG to build systems that integrate generative capabilities with precise data retrieval
✔️ How to monitor agent performance in real time
✔️ How to manage multi-agent systems
✔️ How to integrate agents with APIs to enable real-world data usage
Frameworks and Tools:
🔹 #CrewAI – a framework that enables efficient management of multiple agents
🔹 #LangChain – a powerful tool for building advanced reasoning workflows
🔹 #AgentOps – a practical solution for monitoring and optimizing agent performance
Models and Technologies I worked with:
🔹 #CohereAI, #Claude, #Groq, #Gemini – different models with diverse strengths in analysis and content generation
🔹 #Tavily, #SerperAPI, #Apify – integrations that support data collection and processing from the web
🔹 #Ollama, #LlamaParse – tools for local model deployment and document parsing
A big thank you
Sincere thanks to Konrad Banachewicz, the Elephant AI team, and Maria Parysz for such an inspiring course. It was a fantastic opportunity to grow my skills and gain knowledge that I can now turn into real-world solutions.
Kamil Winiarski
Senior Technical Support Specialist | AI Enthusiast | Exploring the Future of Machine Learning and A
A few days ago I completed the intensive “AI Agents” course organized by Elephant AI and led by 😎 Konrad Banachewicz
It was a fascinating journey into the world of intelligent agents, full of challenges and inspiration! 🚀
🧐 During 6 weeks of intensive work:
🔹 I explored the architecture of AI Agents, their applications in real business contexts, and their structural design
🔹 I deepened my understanding of integrating AI Agents with RAG and data analysis tools
🔹 One of the most valuable takeaways was hands-on experience in building multi-agent systems that combine collaboration and efficiency
The future of AI agents 🚀
The ability to build autonomous systems that can plan, analyze, and act independently opens up completely new possibilities in automation, reasoning, and user interaction.
During the course, I had the chance to dive into both the basics and more advanced methods of building solutions based on LLMs.
🤘 Frameworks and tools 🤘
🤖 LangChain, CrewAI – the foundation for building agents. LangChain supports complex reasoning flows, while CrewAI enables collaboration between multiple agents in one ecosystem.
🤖 AgentOps – indispensable for monitoring and optimizing agent performance in real time, especially helpful for debugging and improving efficiency.
🤖 LLM ecosystem and APIs
Cohere AI, Groq, Gemini, Google AI Studio – I tested various AI models to find optimal solutions for analysis and content generation.
Ollama, Llama Parse – great for running large language models locally and processing documents.
Tavily, Serper API, Apify – essential integrations for retrieving and processing real-time web data, allowing agents to work with up-to-date information.
The phenomenon of reasoning
What impressed me most was the ability to observe how the AI agent analyzes a problem step by step, formulates decisions, and adapts its strategy. It’s a truly magical experience! 🔮
Huge thanks to Konrad Banachewicz, Maria Parysz, and the whole Elephant AI team. Thanks to them, this course not only opened new doors for me, but also gave me practical tools to help shape the future of AI.
Mirosław Kowalczyk
System Analysis Expert at Sygnity S.A.
The past weeks and months have been an intense time for me when it comes to artificial intelligence (AI).
I’ve just completed the “AI Agents” course from Elephant AI, led by Konrad Banachewicz, and interestingly—I did it with two distinctions: “Best Implementation” and “Best Technical Documentation”. 🚀
Konrad, thank you for this hands-on AI adventure. 😀
From my perspective, the training is very well designed and provides solid knowledge about AI, while also helping to deepen Python coding skills in the context of building AI solutions (with a very wide range of possible applications).
What I’ve learned from Elephant AI is how to ask more specific questions and find the answers—and I believe that’s the most important skill in any field you want to dive into.
We all know AI is evolving at a rapid pace, and it’s worth learning how to keep up. In my opinion, the Elephant AI courses do a great job of preparing you for that.
Dawid Marniok
DevOps Lead / Architect at CSHARK
🎓 I’ve just completed the intensive 6-week program "AI Agents: Solutions for the Future™" from Elephant AI!
The program was truly intense:
➡️ 22 hours of workshops
➡️ 10 modules with individual tests
➡️ A final project to put all skills into practice
➡️ Tons of hands-on knowledge about AI Agents
What mattered most to me? Each module required applying the knowledge in practice, and the final project had to demonstrate a real business use case for AI Agents.
The training only confirmed what we probably all already know—the potential of this technology is enormous 🙂
Huge thanks to the entire Elephant AI team, and especially to Konrad Banachewicz and Maria Parysz for their excellent leadership and expert support! 🙌
Anna Radulska-Cieliczko
Head of Organizational Division with Experience in Cultural Event Management
For 6 weeks, I explored the world of artificial intelligence—from theory to practice. The course included intensive coding sessions, tests, and a final project that gave me the opportunity to apply what I had learned.
Sincere thanks to Konrad Banachewicz and Maria Parysz, as well as the entire Elephant AI team, for the inspiring materials, ongoing support, and the passion you share with your students!
I’m ready to put this knowledge into action in my daily work and to keep exploring the new opportunities AI has to offer.
If you're thinking about getting into AI, I highly recommend this course!
Maciej Węgrzynek
Senior Frontend/Fullstack Developer with over 18 years of professional experience
I completed the 6-week AI Agents course from Elephant AI, led by the one and only Konrad Banachewicz! 🚀
I got to know key frameworks like LangChain and CrewAI, as well as tools for monitoring and optimizing agent performance such as AgentOps. I tested various AI models (Cohere AI, Gemini, Google AI Studio) and API integrations (Tavily, Serper API, Apify), which open up new possibilities in automation and data analysis.
For my final project, I designed an agent to improve competitor activity monitoring and market trend analysis. 🔮
Thank you to Konrad, Elephant AI, and Maria Parysz for this inspiring experience.
Seweryn Rogut
3D Point cloud data | Photogrammetry | Project manager | AI Enthusiast
GenAI™ + AI Agents – completed! 🤖💡
Over the past 12 weeks, I took part in two intensive courses organized by Elephant AI and led by Konrad Banachewicz and Maria Parysz. These trainings were not only an opportunity to gain new knowledge, but also to apply artificial intelligence in real, practical ways.
During the courses, I learned how to:
➡️ Fine-tune language models (LLMs) – allowing for the adaptation of large models to specific business needs and use cases.
➡️ Use RAG techniques (Retrieval-Augmented Generation) – effectively combining LLMs with external data sources to provide precise, context-aware responses.
➡️ Build advanced multi-agent solutions – enabling the automation of complex processes through intelligent agents collaborating on dedicated tasks.
➡️ Implement and monitor AI in the cloud – essential skills for scaling AI projects and ensuring performance and reliability in production environments.
As my final project, I created an intelligent customer service assistant that automates purchase, complaint, and return processes—streamlining operations and improving the customer experience. The project was recognized with a Best Practical Application badge – nothing huge, but it definitely made me smile 😁.
The time I spent with Elephant AI was not only inspiring but also full of challenges and rewarding moments. These courses helped me expand my AI skill set and gain valuable hands-on experience.
Join the course
Fall 2025
3.
Edition
AI
Agents
Code
6 weeks of learning in the AI Agents Code program led by Konrad Banachewicz, PhD, Kaggle Grandmaster
20+ hours of LIVE workshops
6-month access to all recordings and materials
Hands-on homework assignments
DIY scripts and projects
Final challenge to complete the course
Recognized and trusted Elephant AI certificate with a detailed skills supplement
2990
PLN
or two installments x
1495 PLN
7-Day Guarantee
The course lasts 10 weeks. You have the right to cancel within 7 days of the course start date. This means you can go through the first week of the course, and if you decide it’s not for you or you don’t have time for it, we will refund 100% of your payment. You risk nothing — we operate in full trust.
0% Installments
You can split your payment into 2 installments at 0% interest. The first is paid upfront, the second within 7 days of the course start date. We handle installments ourselves, not through a bank, so it won’t affect your credit score. We operate fully in trust.
Training Budget Financing
Many of our participants choose to finance the course using their company’s training budget. Contact us at agenci@elephantai.io if you need a proforma invoice for internal approval. For teams of 3 or more, we offer special discounts.
Need more time?
Join the waitlist!
By filling out the form, you accept the Privacy Policy and agree to join the Elephant AI newsletter managed by Maria Parysz and ElephantAI Ltd. We ensure no spam. You can unsubscribe at any time.
+
members of Elephant AI community
+
students on LinkedIn Learning
Join the course
Fall 2025
3.
Edition
AI
Agents
Code
6 weeks of learning in the AI Agents Code program led by Konrad Banachewicz, PhD, Kaggle Grandmaster
20+ hours of LIVE workshops
6-month access to all recordings and materials
Hands-on homework assignments
DIY scripts and projects
Final challenge to complete the course
Recognized and trusted Elephant AI certificate with a detailed skills supplement
2990
PLN
or two installments x
1495 PLN
7-Day Guarantee
The course lasts 10 weeks. You have the right to cancel within 7 days of the course start date. This means you can go through the first week of the course, and if you decide it’s not for you or you don’t have time for it, we will refund 100% of your payment. You risk nothing — we operate in full trust.
0% Installments
You can split your payment into 2 installments at 0% interest. The first is paid upfront, the second within 7 days of the course start date. We handle installments ourselves, not through a bank, so it won’t affect your credit score. We operate fully in trust.
Training Budget Financing
Many of our participants choose to finance the course using their company’s training budget. Contact us at agenci@elephantai.io if you need a proforma invoice for internal approval. For teams of 3 or more, we offer special discounts.
Need more time?
Join the waitlist!
By filling out the form, you accept the Privacy Policy and agree to join the Elephant AI newsletter managed by Maria Parysz and ElephantAI Ltd. We ensure no spam. You can unsubscribe at any time.
+
members of Elephant AI community
+
students on LinkedIn Learning
Join the course
Fall 2025
3.
Edition
AI
Agents
Code
6 weeks of learning in the AI Agents Code program led by Konrad Banachewicz, PhD, Kaggle Grandmaster
20+ hours of LIVE workshops
6-month access to all recordings and materials
Hands-on homework assignments
DIY scripts and projects
Final challenge to complete the course
Recognized and trusted Elephant AI certificate with a detailed skills supplement
2990
PLN
or two installments x
1495 PLN
7-Day Guarantee
The course lasts 10 weeks. You have the right to cancel within 7 days of the course start date. This means you can go through the first week of the course, and if you decide it’s not for you or you don’t have time for it, we will refund 100% of your payment. You risk nothing — we operate in full trust.
0% Installments
You can split your payment into 2 installments at 0% interest. The first is paid upfront, the second within 7 days of the course start date. We handle installments ourselves, not through a bank, so it won’t affect your credit score. We operate fully in trust.
Training Budget Financing
Many of our participants choose to finance the course using their company’s training budget. Contact us at agenci@elephantai.io if you need a proforma invoice for internal approval. For teams of 3 or more, we offer special discounts.
Need more time?
Join the waitlist!
By filling out the form, you accept the Privacy Policy and agree to join the Elephant AI newsletter managed by Maria Parysz and ElephantAI Ltd. We ensure no spam. You can unsubscribe at any time.
+
members of Elephant AI community
+
students on LinkedIn Learning
Join the course
Fall 2025
3.
Edition
AI
Agents
Code
6 weeks of learning in the AI Agents Code program led by Konrad Banachewicz, PhD, Kaggle Grandmaster
20+ hours of LIVE workshops
6-month access to all recordings and materials
Hands-on homework assignments
DIY scripts and projects
Final challenge to complete the course
Recognized and trusted Elephant AI certificate with a detailed skills supplement
2990
PLN
or two installments x
1495 PLN
7-Day Guarantee
The course lasts 10 weeks. You have the right to cancel within 7 days of the course start date. This means you can go through the first week of the course, and if you decide it’s not for you or you don’t have time for it, we will refund 100% of your payment. You risk nothing — we operate in full trust.
0% Installments
You can split your payment into 2 installments at 0% interest. The first is paid upfront, the second within 7 days of the course start date. We handle installments ourselves, not through a bank, so it won’t affect your credit score. We operate fully in trust.
Training Budget Financing
Many of our participants choose to finance the course using their company’s training budget. Contact us at agenci@elephantai.io if you need a proforma invoice for internal approval. For teams of 3 or more, we offer special discounts.
Need more time?
Join the waitlist!
By filling out the form, you accept the Privacy Policy and agree to join the Elephant AI newsletter managed by Maria Parysz and ElephantAI Ltd. We ensure no spam. You can unsubscribe at any time.
+
members of Elephant AI community
+
students on LinkedIn Learning
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The final project sounds intimidating — I’m not very advanced in AI. Will I manage?
The final project sounds intimidating — I’m not very advanced in AI. Will I manage?
The final project sounds intimidating — I’m not very advanced in AI. Will I manage?
The final project sounds intimidating — I’m not very advanced in AI. Will I manage?
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How can we help you?
AI Transformation
Comprehensive assistance with AI transformation in your business. We provide support at every stage.
Strategic meetings
Individual inspirational sessions with our experts, building awareness in artificial intelligence.
Workshops
Corporate training sessions at convenient times and on selected topics, complemented by industry sessions that periodically refresh knowledge.
Online courses
Cohort courses – convenient home learning for managers and specialists. Check the latest editions and course calendar!
Are you looking for something else?
Fill out the form
Contact us so we can find the best solution for your needs
How can we help you?
AI Transformation
Comprehensive assistance with AI transformation in your business. We provide support at every stage.
Strategic meetings
Individual inspirational sessions with our experts, building awareness in artificial intelligence.
Workshops
Corporate training sessions at convenient times and on selected topics, complemented by industry sessions that periodically refresh knowledge.
Online courses
Cohort courses – convenient home learning for managers and specialists. Check the latest editions and course calendar!
Are you looking for something else?
Fill out the form
Contact us so we can find the best solution for your needs
How can we help you?
AI Transformation
Comprehensive assistance with AI transformation in your business. We provide support at every stage.
Strategic meetings
Individual inspirational sessions with our experts, building awareness in artificial intelligence.
Workshops
Corporate training sessions at convenient times and on selected topics, complemented by industry sessions that periodically refresh knowledge.
Online courses
Cohort courses – convenient home learning for managers and specialists. Check the latest editions and course calendar!
Are you looking for something else?
Fill out the form
Contact us so we can find the best solution for your needs
How can we help you?
AI Transformation
Comprehensive assistance with AI transformation in your business. We provide support at every stage.
Strategic meetings
Individual inspirational sessions with our experts, building awareness in artificial intelligence.
Workshops
Corporate training sessions at convenient times and on selected topics, complemented by industry sessions that periodically refresh knowledge.
Online courses
Cohort courses – convenient home learning for managers and specialists. Check the latest editions and course calendar!
Are you looking for something else?
Fill out the form
Contact us so we can find the best solution for your needs
Do you want to integrate AI into your life? We have a gift for you
We prepared three free lessons from the "AI for Managers" course and a list of 70 AI tools we recommend.
By filling out the form, you accept the Privacy Policy and agree to join the Elephant AI newsletter managed by Maria Parysz and ElephantAI Ltd. We ensure no spam. You can unsubscribe at any time.
Do you want to integrate AI into your life? We have a gift for you
We prepared three free lessons from the "AI for Managers" course and a list of 70 AI tools we recommend.
By filling out the form, you accept the Privacy Policy and agree to join the Elephant AI newsletter managed by Maria Parysz and ElephantAI Ltd. We ensure no spam. You can unsubscribe at any time.
Do you want to integrate AI into your life? We have a gift for you
We prepared three free lessons from the "AI for Managers" course and a list of 70 AI tools we recommend.
By filling out the form, you accept the Privacy Policy and agree to join the Elephant AI newsletter managed by Maria Parysz and ElephantAI Ltd. We ensure no spam. You can unsubscribe at any time.
Do you want to integrate AI into your life? We have a gift for you
We prepared three free lessons from the "AI for Managers" course and a list of 70 AI tools we recommend.
By filling out the form, you accept the Privacy Policy and agree to join the Elephant AI newsletter managed by Maria Parysz and ElephantAI Ltd. We ensure no spam. You can unsubscribe at any time.
© 2023 Elephant AI Inc., Canada. All rights reserved.
© 2023 Elephant AI Inc., Canada. All rights reserved.
© 2023 Elephant AI Inc., Canada. All rights reserved.
© 2023 Elephant AI Inc., Canada. All rights reserved.