1st Edition · November 2026

AI for Research

A course on using agentic AI tools, such as Claude Code, in research. Students learn to let an agent work in a project folder, keep the work reproducible, and check every result before it goes into a paper.

Amsterdam Business School, University of Amsterdam

Course repository on GitHub Contact the teachers

About

What the course covers

The course is for researchers who want to use AI tools without losing control of their work. The tools read files, write code and run it. That makes them useful, and it makes mistakes easier to miss.

Participants work through a set of labs. They turn a paper into a newspaper article, then build a small literature tool on OpenAlex that scores abstracts against their own statements. Each lab has a worked solution in the repository.

The course runs in three days: Foundations, Literature and Replication. The materials for the first two days are in the repository. The third day appears in the course outline and its materials are not yet published there.

Dates

Current edition

21.10.2026 Done
Evening 1: Basics and fundamentals of AI use, and defining the structure of your work
28.10.2026 Done
Evening 2: Using Claude tools and vibe coding for analysis
04.11.2026 Upcoming
Evening 3

Next edition

Second iteration: Q1 2027

We plan a second iteration of AI for Research in the first quarter of 2027. Dates are not announced yet.

If you are interested, send us an email. We will contact you when the registration opens.

Email us your interest

Why this course

Practical from day one.
Built to last.

Hands-on teaching

Practical advice and a hands-on approach. The instructors work with you until you reach your goals.
Theory from practice

The theory comes out of real applications in the field and in research, so every idea has a use you can test.
Skills that last

Leave with practical skills and a future-proof project structure that powers your research long after the course ends.