Introduction to Artificial Intelligence with Python by Harvard University

Introduction to Artificial Intelligence with Python by Harvard University

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With Harvard's University's free course: Introduction to Artificial Intelligence with Python, you'll learn to use machine learning in Python on artificial intelligence.

What you’ll learn

  • Graph search algorithms
  • Reinforcement learning
  • Machine learning
  • Artificial intelligence principles
  • How to design intelligent systems
  • How to use AI in Python programs

Introduction to Artificial Intelligence with Python by Harvard University

Course description

AI is transforming how we live, work, and play. By enabling new technologies like self-driving cars and recommendation systems or improving old ones like medical diagnostics and search engines, the demand for expertise in AI and machine learning is growing rapidly. This course will enable you to take the first step toward solving important real-world problems and future-proofing your career.

CS50’s Introduction to Artificial Intelligence with Python explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like 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. By course’s end, students emerge with experience in libraries for machine learning as well as knowledge of artificial intelligence principles that enable them to design intelligent systems of their own.

Enroll now to gain expertise in one of the fastest-growing domains of computer science from the creators of one of the most popular computer science courses ever, CS50. You’ll learn the theoretical frameworks that enable these new technologies while gaining practical experience in how to apply these powerful techniques in your work.

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