This comprehensive university-level course introduces the fundamental concepts and algorithms that power modern artificial intelligence. Developed for Harvard University and taught by Brian Yu, the course explains how AI systems work and how developers can implement them using the Python programming language.

Throughout the course, students explore the key building blocks behind many modern technologies such as recommendation systems, machine translation, handwriting recognition, and intelligent game-playing agents. The program begins with search algorithms and knowledge representation, teaching how computers can solve complex problems and make logical decisions.

As the course progresses, learners dive into probability and uncertainty, optimization techniques, and machine learning methods used to train intelligent systems. The course also introduces neural networks, which are the foundation of many modern deep learning systems, and explores how language technologies relate to large language models such as ChatGPT.

A strong focus is placed on hands-on programming projects, allowing students to apply theoretical concepts in practical AI applications using Python.

By the end of this course, learners will understand the core principles of artificial intelligence and gain the skills needed to build their own intelligent programs and AI-powered systems.