This course introduces students to the basic knowledge representation, problem solving, and learning methods of artificial intelligence.

This course introduces representations, techniques, and architectures used to build applied systems and to account for intelligence from a computational point of view.

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Description: In this lecture, Prof. Winston introduces artificial intelligence and provides a brief history of the field. The last ten minutes are devoted to information about the course at MIT.

This lecture notes section contains a complete set of lecture notes for the course. These serve as the primary reading material for this course.

What's the secret sauce behind these recent breakthroughs within AI? They're called foundation models and generative AI, and it is changing everything. With the help of it, some believe that …

We believe that the lectures, tutorials, mega-recitations, and recitations are all an important part of the MIT experience, and we work hard to make them interesting and useful.

In AI 101, MIT researcher Brandon Leshchinskiy offers an introduction to artificial intelligence that's designed specifically for those with little to no background in the subject.

This section provides tutorials on several topics related to artificial intelligence.

This section provides full-length lecture videos that cover the content of the course. Lecture 20, which focuses on the AI business, is not available.