Together with hessian.AI the HeFDI Code School offers three half day workshops related to coding and AI. Participants of these workshops will learn the fundamentals of deep learning, get practical insights into prompt engineering using meeting transcripts and get a glimpse on AI agents.

In this hands-on workshop, you will get an insight of the principles of prompt engineering by turning raw meeting transcripts into structured, actionable outcomes. Using Large Language Models, you will learn how to extract key decisions and generate clear action items, while discovering how subtle changes in instructions, context, and output formatting directly shape the quality of AI results.

Together, we will combine summarization, action-item extraction, and simple memory features into a practical, notebook-based workflow that streamlines post-meeting tasks. By the end of the session, you will have concrete skills and reusable patterns to build automated meeting assistants for your own workflows.

Please note: These workshops are designed for researchers who already have basic coding experience (e.g., in Python or R) and want to apply AI tools in their research workflow. As part of the HeFDI Code School, the Expert tracks are tailored specifically for researchers building up their programming skills alongside their domain research, not for professional software developers or computer scientists.

Further Information and Registration

HeFDI Code School Website