Courses
Examples of courses I can teach on AI for research, for universities, graduate schools and doctoral programmes.
Every course can take different shapes: in person, online or both, as one intensive block or spread over several weeks, shorter or longer. Length, format and all practical details are open: we agree them together, and I adapt the course to what your institution needs. Every title below opens the course's full description.
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Build Your Own AI Writing Assistant
A hands-on deep dive into AI system design for academic writing: you build and maintain your own writing assistant, tailored to your style, voice and ways of working.
Hosted by University of Basel (Graduate School of Social Sciences, autumn 2026) Evangelisches Studienwerk Villigst (for its doctoral fellows, from February 2027) -
AI Starter Kit for Researchers
An introduction that gets you over the first hurdles of using AI for research fast, with your own personalized AI system and more consistent results right away.
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Build Your Own AI Research Assistant
A semester-long research seminar in which each researcher builds a personal AI research assistant, a kind of second brain shaped to their own work, in plain English and with no code.
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Build Your Own AI Second Brain
A personal knowledge base built from your own literature, notes and ideas, which you query through AI as an extension of your own memory.
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Build Your Own AI Thinking Partner
AI thinking partners that think along with you, interrogate your reasoning and criticise your work, from perspectives you choose.
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Out of the Chat Window: An AI That Works in Your Files and Apps
An AI system that works in your own files and apps, and starts automating the tasks you used to do by hand.
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Writing by Speaking with AI
The skill of writing with your voice, so that what you dictate becomes clean, polished text.
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Applied AI Theory Toolkit
Operational knowledge of large language models, the engines behind what we call AI, so that you can use them well for your research.
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How to Use AI Ethically for Your Research
What you may do with AI in your research, and how to do it well: data safety, authorship and responsibility, documentation and disclosure.