| Foundations of Machine Learning | Lecturer |
| Deep Learning | Zell |
| Diverse Topics in Machine Learning - Lectures | |
| Data Literacy | Hennig |
| Mathematics of Machine Learning | Hein |
| Reinforcement Learning | Martius |
| Self-Driving Cars | Geiger |
| Nonconvex Optimization for Deep Learning | Orvieto |
| Machine Learning for Single Cell Biology | Claassen |
| Time Series | Ludwig |
| The Science of Machine Learning Benchmarks | Hardt
|
| Causal Machine Learning | Knaus |
| Foundations of Robotics | Zell |
| Diverse Topics in Machine Learning - Seminars | |
| LLM Research Assistants | Geiger |
| Current Topics in Robotics | Zell |
| Advanced Topics in Computer Graphics and Computer Vision | Lensch |
| Machine Learning Methods for Scientific Discovery | Macke |
| AI for Scientific Discovery | Krenn |
| AI for Brain Health | Berens |
| LLM-assisted Cohort Discovery in Clinical Trials | Eickhoff |
| "What if?" in Artificial Intelligence – Formal Approaches to Counterfactual Reasoning | Rueckschloss (Seminar is offered in the math department) |
