Learn how to create and use exceptions, data structures, recursion, and graphical user-interfaces (GUIs).

Learn about machine learning, the area of artificial intelligence (AI) that is concerned with computational artifacts that modify and improve performance through experience.

This is CS50 AP, Harvard University's introduction to the intellectual enterprises of computer science and the art of programming for students in high school, which satisfies the College Board's new AP CS Principles curriculum framework.

This is CS50 AP, Harvard University's introduction to the intellectual enterprises of computer science and the art of programming for students in high school, which satisfies the College Board's new AP CS Principles curriculum framework.

This course is a variant of Harvard University's introduction to computer science, CS50, designed especially for lawyers (and law students).

Learn to use machine learning in Python in this introductory course on artificial intelligence.

Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.

Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.

Learn the concepts and techniques that make up the foundation of data science and machine learning.

Learn probability, an essential language and set of tools for understanding data, randomness, and uncertainty.

A fun, fast-paced introduction to solving interesting problems with computer science through Python programming.

Understand the design rationale of blockchain technology, its emerging platforms and applications and uncover the limitations and the opportunities enabled by blockchain applications, particularly as it relates to finance.