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AI Pioneers Program
Conquer AI in 10 Sessions

Cohort 2 is just around the corner!
Applications are closed. Sign-up for our Newsletter to stay up-to-date!


Cohort 2 is just around the corner!
Applications are closed.
Sign-up for our Newsletter to stay up-to-date!

THE ADVANTAGES

What awaits you?

AI Pioneers is a free AI talent program that provides curious minds and engaged thinkers with relevant knowledge, networking opportunities, and career options​.

Our mission:
Empowering the next generation of leaders to successfully drive innovation in the era of AI

In each session…

📌 What is "hot and new" in AI
A quick dive into the latest breakthroughs, trends, and applications in AI, highlighting what’s shaping the field right now.

📝 Homework Discussion
A look back at the previous assignment, what participants explored, the insights they uncovered, and the challenges they faced along the way.

🎙️ Topic Introduction and Hands-on Demo
An interactive session that introduces the day’s focus topic, followed by a guided demo to put concepts into practice.

🎙️ Guest Lecture
Each session welcomes an expert guest speaker who brings valuable perspectives, from academic research to real-world applications, offering background knowledge, practical insights, and technical expertise.

Guided program and independent learning

AI Pioneers offers you a 20-week learning experience, with a 90-minute virtual session every 2 weeks. Sessions combine insights from international experts and close mentoring regarding self-study assignments.
The program is free of charge!

AI Experts from around the globe

Learn from renowned international AI scholars and practitioners, while meeting ambitious, tech-savvy, and like-minded participants.

Certificate upon completion

Upon completion, a certificate will be issued to you with an outline of what you have learned.
Signed and ready to be shared with your network and friends.

  • LLMs

  • Auto-Encoders

  • AI & Banking

  • Capstone Project

  • LLMs

  • Auto-Encoders

  • AI & Banking

  • Capstone Project

  • LLMs

  • Auto-Encoders

  • AI & Banking

  • Capstone Project

  • Ethics in AI

  • AI Agents

  • Data Cleaning

  • Business Applications

  • Ethics in AI

  • AI Agents

  • Data Cleaning

  • Business Applications

  • Ethics in AI

  • AI Agents

  • Data Cleaning

  • Business Applications

Session Schedule - Cohort 2

01
Session

Kick-Off

27.10.2025, 18:00 CEST

01
Session

Kick-Off


27.10.2025, 18:00 CEST

01
Session

Kick-Off

27.10.2025, 18:00 CEST

02
Session

Fundamentals

10.11.2025, 18:00 CEST

02
Session

Fundamentals


10.11.2025, 18:00 CEST

02
Session

Fundamentals

10.11.2025, 18:00 CEST

04
Session

AI Agents

24.11.2025, 18:00 CEST

04
Session

AI Agents


24.11.2025, 18:00 CEST

04
Session

AI Agents

24.11.2025, 18:00 CEST

03
Session

Advanced Fundamentals

08.12.2025, 18:00 CEST

03
Session

Advanced Fundamentals


08.12.2025, 18:00 CEST

03
Session

Advanced Fundamentals

08.12.2025, 18:00 CEST

05
Session

Business Impact

12.01.2026, 18:00 CEST

05
Session

Business Impact


12.01.2026, 18:00 CEST

05
Session

Business Impact

12.01.2026, 18:00 CEST

06
Session

AI in Finance

26.01.2026, 18:00 CEST

06
Session

AI in Finance


26.01.2026, 18:00 CEST

06
Session

AI in Finance

26.01.2026, 18:00 CEST

07
Session

AI Ethics

09.02.2026, 18:00 CEST

07
Session

AI Ethics


09.02.2026, 18:00 CEST

07
Session

AI Ethics

09.02.2026, 18:00 CEST

08
Session

AI in Action

23.02.2026, 18:00 CEST

08
Session

AI in Action


23.02.2026, 18:00 CEST

08
Session

AI in Action

23.02.2026, 18:00 CEST

10
Session

Pitches and Celebration

23.03.2026, 18:00 CEST

10
Session

Pitches and Celebration


23.03.2026, 18:00 CEST

10
Session

Pitches and Celebration

23.03.2026, 18:00 CEST

Certificate of Completion
ai-pioneers.io

Session schedule and contents may be subject to minor changes.

Apply

Sounds interesting?
Sign up for our Newsletter to stay up-to-date!

We recommend applying on a desktop device

AI Pioneers is open to all innovative minds and forward thinkers worldwide. While the program is free of charge, all applications to the AI Pioneers program are carefully reviewed, and only the most qualified and exceptional candidates are accepted. This enables us to ensure strong supervision and collaboration.

PEOPLE

Who is part of the team?

Speakers and Core Team

Bastian Burger

Lecturer

TUM Venture Labs

Bastian Burger is Director for Software & AI at TUM Venture Labs. He uses his expertise in the areas of business growth, AI, Web3, crypto and cybersecurity to support young founders in the first steps of their entrepreneurial careers up to Series A. His career began with the founding of blik, a pioneering startup in the field of industrial IoT and intralogistics, which he led as CEO from idea generation to market launch. He is also a lecturer and researcher in the field of psychological resilience and well-being of startup founders, with a special focus on well-being and narcissism.

Bastian Burger

Lecturer

TUM Venture Labs

Bastian Burger is Director for Software & AI at TUM Venture Labs. He uses his expertise in the areas of business growth, AI, Web3, crypto and cybersecurity to support young founders in the first steps of their entrepreneurial careers up to Series A. His career began with the founding of blik, a pioneering startup in the field of industrial IoT and intralogistics, which he led as CEO from idea generation to market launch. He is also a lecturer and researcher in the field of psychological resilience and well-being of startup founders, with a special focus on well-being and narcissism.

Prof. Dr. Gitta Kutyniok

Lecturer

University Mainz

Gitta Kutyniok is a Professor of Mathematics and Computer Science at Ludwig Maximilian University of Munich, where she holds the Bavarian AI Chair for Mathematical Foundations of Artificial Intelligence. Her research spans harmonic analysis, deep learning, compressed sensing, and signal processing, focusing on the mathematical principles underlying modern AI systems. She is a Fellow of both SIAM and IEEE and a member of the Berlin-Brandenburg Academy of Sciences and Humanities.  

Prof. Dr. Gitta Kutyniok

Lecturer

University Mainz

Gitta Kutyniok is a Professor of Mathematics and Computer Science at Ludwig Maximilian University of Munich, where she holds the Bavarian AI Chair for Mathematical Foundations of Artificial Intelligence. Her research spans harmonic analysis, deep learning, compressed sensing, and signal processing, focusing on the mathematical principles underlying modern AI systems. She is a Fellow of both SIAM and IEEE and a member of the Berlin-Brandenburg Academy of Sciences and Humanities.  

Dr. Andrej Levin

Lecturer

BCG

Andrej Levin is the Head of BCG X in Central Europe, Boston Consulting Group’s tech build and design unit, where he leads AI-driven transformations for major corporations. He founded and globally leads BCG’s Auto.AI product, enabling automotive companies to scale advanced AI solutions. Holding a PhD in Economics and Law from the University of Siegen, he also teaches “Value Creation with AI” at the Technical University of Munich and co-leads the BCG x TUM AI Strategy Research Cluster.  

Dr. Andrej Levin

Lecturer

BCG

Andrej Levin is the Head of BCG X in Central Europe, Boston Consulting Group’s tech build and design unit, where he leads AI-driven transformations for major corporations. He founded and globally leads BCG’s Auto.AI product, enabling automotive companies to scale advanced AI solutions. Holding a PhD in Economics and Law from the University of Siegen, he also teaches “Value Creation with AI” at the Technical University of Munich and co-leads the BCG x TUM AI Strategy Research Cluster.  

Prof. Dr. Reiner Braun

Lecturer

TUM

Prof. Dr. Reiner Braun is a Professor for Entrepreneurial Finance at the Technical University of Munich (TUM). His research focuses on innovation financing, venture capital, and private equity, with particular emphasis on startup financing and management. His work has been published in leading academic journals including the Journal of Finance or the Journal of Financial Economics. He leads a research group on AI & Advanced Analytics in Alternative Investments at TUM (altqnt.com) and is a co-founder of equation AG, an private markets asset manager applying AI and data science in the real world.

Prof. Dr. Reiner Braun

Lecturer

TUM

Prof. Dr. Reiner Braun is a Professor for Entrepreneurial Finance at the Technical University of Munich (TUM). His research focuses on innovation financing, venture capital, and private equity, with particular emphasis on startup financing and management. His work has been published in leading academic journals including the Journal of Finance or the Journal of Financial Economics. He leads a research group on AI & Advanced Analytics in Alternative Investments at TUM (altqnt.com) and is a co-founder of equation AG, an private markets asset manager applying AI and data science in the real world.

Prof. Dr. Virginia Dignum

Lecturer

Umeå University

Virginia Dignum is Professor of Responsible Artificial Intelligence at Umeå University, Sweden, where she leads the AI Policy Lab. She is also senior advisor on AI policy to the Wallenberg Foundations and chair of the ACM’s Technology Policy Council. She has a PHD in Artificial Intelligence from Utrecht University (2004), was appointed Wallenberg Scholar in 2024, is member of the Royal Swedish Academy of Engineering Sciences (IVA), and a Fellow of the European Artificial Intelligence Association (EURAI), and of ELLIS (European Laboratory of Learning and Intelligent Systems). She is also co-chair of the IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems 2.0, member of the UNESCO’s expert group on the implementation of AI recommendations, the OECD’s Expert group on AI, and founder of ALLAI, the Dutch AI Alliance. She has been a member of the United Nations Advisory Body on AI, the EU’s High Level Expert Group on Artificial Intelligence, co-chair of the WEF’s Global Future Council on AI, and leader of UNICEF's guidance for AI and children.  She has over 300 peer-reviewed articles in major international journals, conferences and workshops with in total over 20000 citations, yielding a h-index of 53. Her new book “The AI Paradox” is planned for publication by Princeton University Press in February 2026.

Prof. Dr. Virginia Dignum

Lecturer

Umeå University

Virginia Dignum is Professor of Responsible Artificial Intelligence at Umeå University, Sweden, where she leads the AI Policy Lab. She is also senior advisor on AI policy to the Wallenberg Foundations and chair of the ACM’s Technology Policy Council. She has a PHD in Artificial Intelligence from Utrecht University (2004), was appointed Wallenberg Scholar in 2024, is member of the Royal Swedish Academy of Engineering Sciences (IVA), and a Fellow of the European Artificial Intelligence Association (EURAI), and of ELLIS (European Laboratory of Learning and Intelligent Systems). She is also co-chair of the IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems 2.0, member of the UNESCO’s expert group on the implementation of AI recommendations, the OECD’s Expert group on AI, and founder of ALLAI, the Dutch AI Alliance. She has been a member of the United Nations Advisory Body on AI, the EU’s High Level Expert Group on Artificial Intelligence, co-chair of the WEF’s Global Future Council on AI, and leader of UNICEF's guidance for AI and children.  She has over 300 peer-reviewed articles in major international journals, conferences and workshops with in total over 20000 citations, yielding a h-index of 53. Her new book “The AI Paradox” is planned for publication by Princeton University Press in February 2026.

Prof. Dr. Marvin Hanisch

Lecturer

University of Groningen

Marvin Hanisch is an Associate Professor in the Innovation Management & Strategy Department at the University of Groningen. His research focuses on organizational leadership and governance issues in response to significant disruptions, including discontinuous technological changes, grand challenges, and crises. Recently, his work has focused on the role of artificial intelligence in organizations and its impact on governance and strategic decision-making. Dr. Hanisch's research has been featured in leading academic and practitioner journals, and he has been honored with multiple international research awards.

Prof. Dr. Marvin Hanisch

Lecturer

University of Groningen

Marvin Hanisch is an Associate Professor in the Innovation Management & Strategy Department at the University of Groningen. His research focuses on organizational leadership and governance issues in response to significant disruptions, including discontinuous technological changes, grand challenges, and crises. Recently, his work has focused on the role of artificial intelligence in organizations and its impact on governance and strategic decision-making. Dr. Hanisch's research has been featured in leading academic and practitioner journals, and he has been honored with multiple international research awards.

Tobias Seemann

Lecturer

Adidas

Tobias Seemann is Senior Vice President Global Digital and E-Commerce at adidas. From 2020 to 2022, he previously served as Senior Vice President Commercial Europe at adidas. Before returning to the company, Seemann held senior roles at Miinto, Amazon, Aldi, and Galeria Kaufhof. He holds a Master’s degree in Business Administration from EBS University of Business and Law.

Tobias Seemann

Lecturer

Adidas

Tobias Seemann is Senior Vice President Global Digital and E-Commerce at adidas. From 2020 to 2022, he previously served as Senior Vice President Commercial Europe at adidas. Before returning to the company, Seemann held senior roles at Miinto, Amazon, Aldi, and Galeria Kaufhof. He holds a Master’s degree in Business Administration from EBS University of Business and Law.

Prof. Dr. Isabell Welpe

Core Team

TUM

Isabell M. Welpe holds the Chair for Strategy and Organization at the Technical University of Munich, Germany. Her research interests are in digital transformation of companies, business model innovation, the impact of digital technologies on the economy and organizations and the future of leadership and work/organizational design.

Prof. Dr. Isabell Welpe

Core Team

TUM

Isabell M. Welpe holds the Chair for Strategy and Organization at the Technical University of Munich, Germany. Her research interests are in digital transformation of companies, business model innovation, the impact of digital technologies on the economy and organizations and the future of leadership and work/organizational design.

PD Dr. Theresa Treffers

Core Team

TUM

Theresa Treffers is an expert in individual and team behavior in entrepreneurship and innovation, as well as in artificial intelligence at work and in leadership. She holds dual roles as a Research Group Leader at the Technical University of Munich and as an Associate Professor at Seeburg Castle University. ​

PD Dr. Theresa Treffers

Core Team

TUM

Theresa Treffers is an expert in individual and team behavior in entrepreneurship and innovation, as well as in artificial intelligence at work and in leadership. She holds dual roles as a Research Group Leader at the Technical University of Munich and as an Associate Professor at Seeburg Castle University. ​

Henri Beyer

Core Team

TUM

Henri Beyer is a master’s student in Information Systems at the Technical University of Munich and an Honors student at the Center for Digital Technology and Management (CDTM). In collaboration with Stanford’s Human-Centered AI Institute (HAI), he researches the future of work and software engineering in the age of generative AI. He has published papers on fraud detection and targeting algorithms, combining large-scale data analysis with economic modeling to study how AI transforms productivity and organizations.  

Henri Beyer

Core Team

TUM

Henri Beyer is a master’s student in Information Systems at the Technical University of Munich and an Honors student at the Center for Digital Technology and Management (CDTM). In collaboration with Stanford’s Human-Centered AI Institute (HAI), he researches the future of work and software engineering in the age of generative AI. He has published papers on fraud detection and targeting algorithms, combining large-scale data analysis with economic modeling to study how AI transforms productivity and organizations.  

Jannik Nolden (Msc)

Core Team

TUM; jannik.nolden@tum.de

Jannik Nolden is a PhD candidate at the Technical University of Munich. He earned his B.Sc. in Business Administration from the University of Cologne and holds an M.Sc. in Management, with a specialization in Data & Business Analytics, from Nova School of Business and Economics in Lisbon. At TUM’s Chair for Strategy and Organization, his research centers on deep tech ventures, including topics such as the influence of human capital on funding outcomes, early success prediction for startups, and high-impact studies like the European Unicorn project. Jannik has +3 years of consutling expereince. In his spare time, he enjoys padel, tennis, football, and running.

Jannik Nolden (Msc)

Core Team

TUM; jannik.nolden@tum.de

Jannik Nolden is a PhD candidate at the Technical University of Munich. He earned his B.Sc. in Business Administration from the University of Cologne and holds an M.Sc. in Management, with a specialization in Data & Business Analytics, from Nova School of Business and Economics in Lisbon. At TUM’s Chair for Strategy and Organization, his research centers on deep tech ventures, including topics such as the influence of human capital on funding outcomes, early success prediction for startups, and high-impact studies like the European Unicorn project. Jannik has +3 years of consutling expereince. In his spare time, he enjoys padel, tennis, football, and running.

Nathalie Schenk (Msc)

Core Team

TUM; nathalie.schenk@tum.de

Nathalie Schenk is a PhD candidate at the Technical University of Munich, holds an MSc in Information Systems from TUM, and researches at the intersection of (Gen)AI and entrepreneurship. With her experience in consulting, she has worked on digital transformations across various industries.

Nathalie Schenk (Msc)

Core Team

TUM; nathalie.schenk@tum.de

Nathalie Schenk is a PhD candidate at the Technical University of Munich, holds an MSc in Information Systems from TUM, and researches at the intersection of (Gen)AI and entrepreneurship. With her experience in consulting, she has worked on digital transformations across various industries.

Bastian Burger

Lecturer

TUM Venture Labs

Bastian Burger is Director for Software & AI at TUM Venture Labs. He uses his expertise in the areas of business growth, AI, Web3, crypto and cybersecurity to support young founders in the first steps of their entrepreneurial careers up to Series A. His career began with the founding of blik, a pioneering startup in the field of industrial IoT and intralogistics, which he led as CEO from idea generation to market launch. He is also a lecturer and researcher in the field of psychological resilience and well-being of startup founders, with a special focus on well-being and narcissism.

Prof. Dr. Gitta Kutyniok

Lecturer

University Mainz

Gitta Kutyniok is a Professor of Mathematics and Computer Science at Ludwig Maximilian University of Munich, where she holds the Bavarian AI Chair for Mathematical Foundations of Artificial Intelligence. Her research spans harmonic analysis, deep learning, compressed sensing, and signal processing, focusing on the mathematical principles underlying modern AI systems. She is a Fellow of both SIAM and IEEE and a member of the Berlin-Brandenburg Academy of Sciences and Humanities.  

Dr. Andrej Levin

Lecturer

BCG

Andrej Levin is the Head of BCG X in Central Europe, Boston Consulting Group’s tech build and design unit, where he leads AI-driven transformations for major corporations. He founded and globally leads BCG’s Auto.AI product, enabling automotive companies to scale advanced AI solutions. Holding a PhD in Economics and Law from the University of Siegen, he also teaches “Value Creation with AI” at the Technical University of Munich and co-leads the BCG x TUM AI Strategy Research Cluster.  

Prof. Dr. Reiner Braun

Lecturer

TUM

Prof. Dr. Reiner Braun is a Professor for Entrepreneurial Finance at the Technical University of Munich (TUM). His research focuses on innovation financing, venture capital, and private equity, with particular emphasis on startup financing and management. His work has been published in leading academic journals including the Journal of Finance or the Journal of Financial Economics. He leads a research group on AI & Advanced Analytics in Alternative Investments at TUM (altqnt.com) and is a co-founder of equation AG, an private markets asset manager applying AI and data science in the real world.

Prof. Dr. Virginia Dignum

Lecturer

Umeå University

Virginia Dignum is Professor of Responsible Artificial Intelligence at Umeå University, Sweden, where she leads the AI Policy Lab. She is also senior advisor on AI policy to the Wallenberg Foundations and chair of the ACM’s Technology Policy Council. She has a PHD in Artificial Intelligence from Utrecht University (2004), was appointed Wallenberg Scholar in 2024, is member of the Royal Swedish Academy of Engineering Sciences (IVA), and a Fellow of the European Artificial Intelligence Association (EURAI), and of ELLIS (European Laboratory of Learning and Intelligent Systems). She is also co-chair of the IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems 2.0, member of the UNESCO’s expert group on the implementation of AI recommendations, the OECD’s Expert group on AI, and founder of ALLAI, the Dutch AI Alliance. She has been a member of the United Nations Advisory Body on AI, the EU’s High Level Expert Group on Artificial Intelligence, co-chair of the WEF’s Global Future Council on AI, and leader of UNICEF's guidance for AI and children.  She has over 300 peer-reviewed articles in major international journals, conferences and workshops with in total over 20000 citations, yielding a h-index of 53. Her new book “The AI Paradox” is planned for publication by Princeton University Press in February 2026.

Prof. Dr. Marvin Hanisch

Lecturer

University of Groningen

Marvin Hanisch is an Associate Professor in the Innovation Management & Strategy Department at the University of Groningen. His research focuses on organizational leadership and governance issues in response to significant disruptions, including discontinuous technological changes, grand challenges, and crises. Recently, his work has focused on the role of artificial intelligence in organizations and its impact on governance and strategic decision-making. Dr. Hanisch's research has been featured in leading academic and practitioner journals, and he has been honored with multiple international research awards.

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FAQ'S

Still got questions?

Who can participate in the AI-Pioneers program?

The AI-Pioneers Program is open to anyone who is interested and brings sufficient time to complete all assignments. We are looking forward to having students, researchers, and practitioners from diverse backgrounds as part of the group!

Who can participate in the AI-Pioneers program?

The AI-Pioneers Program is open to anyone who is interested and brings sufficient time to complete all assignments. We are looking forward to having students, researchers, and practitioners from diverse backgrounds as part of the group!

Who can participate in the AI-Pioneers program?

The AI-Pioneers Program is open to anyone who is interested and brings sufficient time to complete all assignments. We are looking forward to having students, researchers, and practitioners from diverse backgrounds as part of the group!

How much time will I need to spend on the program?

How much time will I need to spend on the program?

How much time will I need to spend on the program?

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Will I get a certificate of participation at the end?

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AI-Pioneers

Take your future into your own hands and master AI today

Learnings and insights from around the world await you!

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AI-Pioneers

Take your future into your own hands and master AI today

Learnings and insights from around the world await you!

logo

AI-Pioneers

Take your future into your own hands and master AI today

Learnings and insights from around the world await you!