Welcome

This course 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, machine learning, large language models, and other topics in artificial intelligence 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.

Prerequisites

CS50x or at least one year of experience with Python.

How to Take this Course

Even if you are not a student at Harvard, you are welcome to “take” this course for free via this OpenCourseWare by working your way through the course’s seven weeks of material. For each week, follow this workflow:

flowchart TD
    A[Watch Lecture] --> B[Submit Project]

To submit the course’s projects for feedback, be sure to create an edX account, if you haven’t already. Ask questions along the way via any of the course’s communities!

• If interested in a verified certificate from edX, enroll at cs50.edx.org/ai instead.
• If interested in a professional certificate from edX, enroll at cs50.edx.org/programs/ai instead.
• If interested in transfer credit and accreditation from Harvard Extension School, register at web.dce.harvard.edu/extension/csci/e/80 instead.
• If interested in transfer credit and accreditation from Harvard Summer School, register at web.dce.harvard.edu/summer/csci/s/80 instead.

How to Teach this Course

If you are a teacher, you are welcome to adopt or adapt these materials for your own course, per the license. Additionally, we encourage teachers to participate in the CS50 Educator Workshop to learn more about CS50’s curriculum, technology, and pedagogy.