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Individual Course

CS50’s Introduction to Artificial Intelligence with Python

Course Length

7 weeks

10-30 hours a week

Featuring faculty from:

Harvard John A. Paulson School of Engineering and Applied Sciences LogoHarvard John A. Paulson School of Engineering and Applied Sciences

Enroll as Individual

Certificate Price:

$ 299

Enroll as Individual

Certificate Price:

$ 299

Join Harvard University Professor David J. Malan in this introductory online course on artificial intelligence to learn how to use machine learning in Python.

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.

The course will be delivered via edX and connect learners around the world.

Prerequisites
⁠CS50x or prior programming experience in Python.

Self-Guided

edX

Learning Outcome

Graph search algorithms, adversarial search, and knowledge representation

Learning Outcome

Logical inference, probability theory, and Bayesian networks

Learning Outcome

Markov models, constraint, satisfaction, neural networks, and natural language processing

  • Learn from Harvard faculty
  • Do it on your own time
  • Get a certificate, add it to your resume
  • Be part of the Harvard Community
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Faculty

Your Instructor

Brian Yu

Senior Preceptor in Computer Science, Harvard University

Your Instructor

David J. Malan

Gordon McKay Professor of the Practice of Computer Science, Harvard University

David J. Malan is Gordon McKay Professor of the Practice of Computer Science at Harvard University in the School of Engineering and Applied Sciences as well as a Member of the Faculty of Education in the Graduate School of Education. He teaches Computer Science 50, otherwise known as CS50, which is among Harvard University's largest courses, one of Yale University's largest courses, and edX's largest MOOC. He also teaches at Harvard Business School, Harvard Law School, Harvard Extension School, and Harvard Summer School.

Complete your journey with this Professional Certificate Series

These courses can be bundled together to receive a Professional Certificate at a discounted price.

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  • 2 Courses
  • 5 Months
  • Earn Your Certificate
An example HarvardX certificate

Ways to take this course

Audit or Pursue a Verified Certificate

A Verified Certificate costs $299 and provides unlimited access to full course materials, activities, tests, and forums. At the end of the course, learners who earn a passing grade can receive a certificate.

⁠Alternatively, learners can Audit the course for free and have access to select course material, activities, tests, and forums. Please note that this track does not offer a certificate for learners who earn a passing grade.

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