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6.034 Artificial Intelligence

Patrick Winston's classic MIT AI lectures on search, constraints, learning and inference.

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About this course

The late Prof. Patrick Winston's Fall 2010 lectures remain a classic introduction to AI. They cover reasoning with goal trees, search and games, constraints, nearest neighbors, decision trees, neural nets, SVMs, boosting and probabilistic inference.

Best for: Learners who want strong conceptual foundations in AI.

What you will be able to do

  • Explain classic search and game-playing algorithms
  • Apply constraint propagation
  • Describe core learning methods like SVMs and boosting
  • Reason with probabilistic inference

Syllabus and your progress

Tick modules off as you finish them on MIT OpenCourseWare.

0 of 7 modules done

Plan your pace

At 4 hours a week you would finish in about 10 weeks, using the course time estimate above.

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Cost and certificate

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Before you start: Programming and basic probability

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Quick answers

Is 6.034 Artificial Intelligence really free?
Yes, the course material is free on MIT OpenCourseWare. OpenCourseWare offers no certificate.
How long does 6.034 Artificial Intelligence take?
Plan for about 40 hrs in total (Editorial estimate; the provider does not publish a total. 23 lecture videos plus recitations.). It is video lectures, so you can go faster or slower.
Do I need experience before 6.034 Artificial Intelligence?
It helps to have: Programming and basic probability.

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6.034 Artificial Intelligence

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