About this course

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.

At a Glance:
Institution: HarvardX
Subject: Computer Science
Level: Introductory
Prerequisites:
CS50 or prior programming experience in Python.
Associated programs:
Professional Certificate in Computer Science for Artificial Intelligence
Language: English
Video Transcripts: اَلْعَرَبِيَّةُ, Deutsch, English, Español, Français, हिन्दी, Bahasa Indonesia, Português, Kiswahili, తెలుగు, Türkçe, 中文
Associated skills:Mathematical Optimization, Machine Translation, Search Algorithms, Python (Programming Language), Intelligent Systems, Artificial Intelligence, Algorithms, Reinforcement Learning, Computer Science, Proofreading, Medical Diagnosis, Handwriting Recognition, Machine Learning