Harvard CS50’s Artificial Intelligence with Python

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What Will You Learn?

This free course explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like large language models, game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning as they incorporate them into their own Python programs.

About This Course

Provider: Youtube
Format: Online
Duration: 12 hours to complete [Approx]
Target Audience: Beginners
Learning Objectives: Upon completion this free course, you will be proficient in foundational concepts and algorithms of modern AI, capable of implementing technologies like large language models, game-playing engines, and more through hands-on Python projects.
Course Prerequisites: NA
Assessment and Certification: NA
Instructor: Freecodecamp
Key Topics: Artificial Intelligence, Python Programming, Neural Networks
Topic Covered: 
  1. - Introuction
  2. - Search
  3. - Knowledge
  4. - Uncertainty
  5. - Optimization
  6. - Learning
  7. - Neural Networks
  8. - Language

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