CS188 is UC Berkeley's introductory artificial intelligence course, covering search, game playing, Markov decision processes and reinforcement learning, probabilistic reasoning, and machine learning basics. It is offered through edX as a MOOC and its lectures are also available free on YouTube.

Commenters point to it as the Berkeley AI course to start with, recommending its lectures alongside the Russell and Norvig textbook and noting its MOOC-style structure.

On Reddit (2)

1. Recommendssharky6000r/MachineLearning2022in “Difference between machine learning and AI [discussion]”▲ 1

   There are courses being taught about AI more generally, but they are being taught in University. E.g. COMP 424 at McGill, see https://www.cs.mcgill.ca/academic/courses/. Here is a similar one at Berkeley: http://ai.berkeley.edu/course_schedule.html. I found some Youtube lectures for this one…

2. Recommendschangingourworldr/MachineLearning2015in “Feeding a game map into a neural network”

   Definitely a task for Reinforcement Learning. Take a look at Berkeley AI course, start at Markov Decision Processes also available on edx with more MOOC like feel. David Silver, who works at DeepMind, has an excellent series of lectures. You might also find DeepMind's latest paper about playing…

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