MIT · Course
Foundation Models and Generative AI (6.S087)
Foundation Models and Generative AI (6.S087) is a free MIT OpenCourseWare undergraduate course, taught in January 2024 by Rickard Gabrielsson, on the foundation models and generative AI behind recent breakthroughs, with lecture videos.
Who it suits
- Curious learners and students who want a university-level explanation of what is behind ChatGPT-style systems.
- Self-learners who prefer lecture videos and course materials they can take at their own pace.
What it covers
- What foundation models and generative AI are, and why they are changing so much.
- The kinds of learning they rely on, including supervised learning and reinforcement learning.
- The breakthroughs the course starts from: ChatGPT, Copilot, CLIP, Dall-E, Stable Diffusion and AlphaFold.
Common questions about Foundation Models and Generative AI (6.S087)
- Who teaches it?
- MIT lists Rickard Gabrielsson as the instructor, in the Department of Electrical Engineering and Computer Science.
- What level is it?
- MIT lists it as undergraduate, taught in the January IAP in 2024.
- What do I get?
- MIT OpenCourseWare lists lecture videos among the course materials. OpenCourseWare is free to use; it does not give credit or a certificate.
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Where this comes from
Written from MIT’s own pages, read on 2026-10-14. Content, prices and availability change, so the provider’s page is the source. We are not affiliated with MIT and this is not an endorsement.