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Continuing Education and Training

MCML offers continuing education opportunities in artificial intelligence for researchers, professionals, and advanced AI users. Our programs combine state-of-the-art research with practical relevance and interdisciplinary perspectives.

Who Is This For?

MCML’s continuing education opportunities are primarily aimed at researchers, professionals, and advanced AI users. Depending on the format, individual programs may be open to a broader audience or address specific target groups.

Typical audiences include

  • AI researchers at all career stages

  • Professionals from industry and applied research

  • Advanced users of AI technologies

  • Participants from partner institutions and initiatives

Upcoming Education Offers

26

Mar


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27

Mar

Tri-State Venture Sprint • Zurich

Link to From Frontier Research to Real-World Impact

From Frontier Research to Real-World Impact

Connect With Deeply Technical Researchers Across Munich, Tübingen, and Zurich

Venture Sprint is an intensive 90-day program for PhD students, PostDocs, and researchers in AI and Data Science who want to turn their research into real-world products. Across three focused weekend …

23

Apr


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24

Apr

Tri-State Venture Sprint • Tübingen

Link to From Frontier Research to Real-World Impact

From Frontier Research to Real-World Impact

Connect With Deeply Technical Researchers Across Munich, Tübingen, and Zurich

Venture Sprint is an intensive 90-day program for PhD students, PostDocs, and researchers in AI and Data Science who want to turn their research into real-world products. Across three focused weekend …

28

May


-

29

May

Tri-State Venture Sprint • Munich

Link to From Frontier Research to Real-World Impact

From Frontier Research to Real-World Impact

Connect With Deeply Technical Researchers Across Munich, Tübingen, and Zurich

Venture Sprint is an intensive 90-day program for PhD students, PostDocs, and researchers in AI and Data Science who want to turn their research into real-world products. Across three focused weekend …

06

Nov

Certificate Course • Online

Link to Certificate Course on Responsible AI - Part 1

Certificate Course on Responsible AI - Part 1

Organized by the German National AI Centers

The certificate course “Responsible AI” is jointly organized by the German National AI Centers. It addresses AI researchers on all levels from the centers, the participating universities, …

13

Nov

Certificate Course • Online

Link to Certificate Course on Responsible AI - Part 2

Certificate Course on Responsible AI - Part 2

Organized by the German National AI Centers

The certificate course “Responsible AI” is jointly organized by the German National AI Centers. It addresses AI researchers on all levels from the centers, the participating universities, …

20

Nov

Certificate Course • Online

Link to Certificate Course on Responsible AI - Part 3

Certificate Course on Responsible AI - Part 3

Organized by the German National AI Centers

The certificate course “Responsible AI” is jointly organized by the German National AI Centers. It addresses AI researchers on all levels from the centers, the participating universities, …

27

Nov

Certificate Course • Online

Link to Certificate Course on Responsible AI - Part 4

Certificate Course on Responsible AI - Part 4

Organized by the German National AI Centers

The certificate course “Responsible AI” is jointly organized by the German National AI Centers. It addresses AI researchers on all levels from the centers, the participating universities, …


Learn More About Our Transfer Activities

Industry Partnerships

We transfer joint AI and ML research projects within our research areas and connect academic expertise and industrial practice.

Entrepreneurship

We actively promote entrepreneurship and support the transfer of excellent AI research into practice.

ML Consulting Services

The Machine Learning Consulting Unit (MLCU) is part of the MCML and offers applied researchers scientific consulting.

Schools & Outreach

We feature multiple outreach programs to make AI-research more accessible and to contribute to the further education of different target groups.

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