MIT 6.034: Artificial Intelligence
Patrick Winston's classic MIT course on the foundations of AI.
24h 17m
On-demand video
30
Lessons
Included
Certificate
Mobile & TV
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This course includes:
- 24h 17m on-demand video (free)
- 30 lessons
- Full lifetime access
- Access on mobile and TV
- Certificate of completion
What you'll learn
- Understand goal trees, search, and constraint satisfaction
- Apply rule-based systems and reasoning techniques
- Grasp the fundamentals behind learning and neural nets
- Connect classical AI to modern approaches
Official study guide
The complete 39-page companion book for MIT 6.034: Artificial Intelligence, covering every module with worked examples, key terms, self-check questions, and a full glossary. Print it or read it offline.
Tools & technologies
Industry-standard tools you'll work with in this course.
TensorFlowCourse content
4 sections · 30 lessons · 24h 17m- 1. Introduction and ScopePreview47m
- 2. Reasoning: Goal Trees and Problem Solving45m
- 3. Reasoning: Goal Trees and Rule-Based Expert Systems49m
- 4. Search: Depth-First, Hill Climbing, Beam48m
- 5. Search: Optimal, Branch and Bound, A*48m
- 6. Search: Games, Minimax, and Alpha-Beta48m
- 7. Constraints: Interpreting Line Drawings49m
- 8. Constraints: Search, Domain Reduction45m
Requirements
- •Programming experience
- •Basic algorithms
About this course
Patrick Winston's classic MIT course on the foundations of AI. This curated learning path is organized into 4 modules and 30 lessons, taught by MIT OpenCourseWare. MegaCourse adds structure, learning outcomes, progress tracking, and a shareable certificate of completion.
Who this course is for
- CS students
- Engineers curious about AI foundations
Instructor
Trusted creator on MegaCourse
Licensing & attribution
License: CC BY-NC-SA 4.0
Source: MIT OpenCourseWare 6.034 (Patrick H. Winston) - CC BY-NC-SA 4.0
Videos are embedded from their original creators and remain free to watch. MegaCourse's paid layer covers our own study guides, graded exams, certificates, and curation.
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