Free Artificial Intelligence Courses

In this era of big data, there is an increasing need to develop and deploy algorithms that can analyze and identify connections in that data.

Artificial Intelligence has emerged as an increasingly impactful discipline in science and technology.

Machine Learning is concerned with computer programs that automatically improve their performance through experience (e.g., programs that learn to recognize human faces, recommend music and movies, and drive autonomous robots).

AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to take.

The field of machine learning is concerned with the question of how to construct computer programs that automatically improve with experience.

Deep Learning systems, typified by deep neural networks, are increasingly taking over all AI tasks, ranging from language understanding, and speech and image recognition, to machine translation, planning, and even game playing and autonomous driving.

Taught by UC Davis computer science professor Dan Gusfield, tthis undergraduate course introduces fundamental techniques and viewpoints for the design and the analysis of efficient computer algorithms, and to study important specific algorithms.

This course explores the problem of intelligence-its nature, how it is produced by the brain and how it could be replicated in machines-using an approach that integrates cognitive science, neuroscience, and computer science and artificial intelligence…

This course introduces the Dynamic Distributed Dimensional Data Model (D4M), a breakthrough in computer programming that combines graph theory, linear algebra, and databases to address problems associated with Big Data.

This is an introductory course by Caltech Professor Yaser Abu-Mostafa on machine learning that covers the basic theory, algorithms, and applications.