Courses
We design and teach interdisciplinary courses on machine learning (ML) and artificial intelligence (AI), combining technical foundations with societal reflection.
Course Editions
Obertauern 2026
Our next flagship summer school in the Austrian Alps. The curriculum bridges classical ML with recent breakthroughs in generative AI and autonomous systems — including LLMs, agents, and the societal questions they raise.
View course →Banz Abbey 2025
Summer academy at Banz Abbey with participants from the College of Europe. Covered classification, regression, tree-based models, and neural networks — alongside discussion sessions on AI regulation, healthcare, misinformation, and the future of work.
View course →Earlier Editions
- 🇸🇮 Ljubljana 2024, Slovenia — Joint program with students from the Max Weber Program, Elite Network of Bavaria.
- 🇩🇪 Koppelsberg 2021, Germany — Interdisciplinary summer academy with participants from across Germany.
- 🇬🇧 Cambridge 2019, UK — St. John’s College, Cambridge, with participants from Cambridge University.
Themes We Explore
The exact content of a course depends on the audience and duration. Common themes include:
- Core ML Concepts — what machine learning is, how it differs from traditional programming, and how models learn from data.
- Methods & Techniques — regression, classification, tree-based models, neural networks, evaluation strategies.
- Practical Data Work — using Python and modern libraries to explore datasets, train models, and visualize results.
- Societal Impact — algorithmic bias and fairness, global regulation, AI in healthcare, misinformation, and the future of work.
Interested in hosting a workshop or learning more about our curriculum? Get in touch.