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, 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.
- CS50x or at least one year of experience with Python.
Watch an introduction
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. If you’d like to submit the course’s seven 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.