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.

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 Transcript: English

Associated skills: Artificial Intelligence, Reinforcement Learning, Mathematical Optimization, Proofreading, Algorithms, Python (Programming Language), Intelligent Systems, Search Algorithms, Handwriting Recognition, Medical Diagnosis, Machine Translation, Computer Science, Machine Learning

What you'll learn

graph search algorithms

adversarial search

knowledge representation

logical inference

probability theory

Bayesian networks

Markov models

constraint satisfaction

machine learning

reinforcement learning

neural networks

natural language processing