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Artificial Intelligence: Principles and Techniques (CS221)

4.7
350k+ enrolled

A comprehensive overview of classical AI. Before Neural Networks dominated, there were search algorithms, Markov decision processes, game playing, and constraint satisfaction problems. This is the bedrock of computer intelligence.

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Course Stats

Rating
4.7/5.0
Duration
10 Weeks
Salary Boost
+$40,000
Instructor

Percy Liang / Dorsa Sadig

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9.3
/100

The Classical Foundation

Understanding A*, MDPs, and Minimax is crucial for building robust AI systems that don't just rely on pattern matching.

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Who It's For

Computer Science students and software engineers who want a broad, classical introduction to the entire field of Artificial Intelligence.

Pros

  • Broadest perspective on AI
  • Essentialsalgorithmic foundation
  • Excellent programming assignment

Cons

  • Less focus on modern Deep Learning
  • Can feel academic/abstrac

Curriculum

3 Modules

Optimization, Tree Search, A*.

Self-pacedHigh Yield

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