A free member community for Black and Latinx computer science students: a Slack workspace for homework and career advice, monthly workshops and coaching, career fairs, and a resume pipeline to partner companies.
Why I recommend it: Free membership for eligible students. The Slack workspace is where most of the value is — hundreds of opportunities get shared every month.
Well-explained computer science and programming tutorials, quizzes, and interview practice problems.
From the site: Your All-in-One Learning Portal. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions.
Why I recommend it: Ad-supported; most articles and practice problems are free to read.
News and recorded-talk archive from Berkeley's Simons Institute for the Theory of Computing, covering theory, cryptography and the maths under machine learning.
Why I recommend it: The recorded talks are free and often better than the paper. Skim the archive by program rather than by date.
Department site for one of the birthplaces of modern deep learning, with faculty pages, open research groups and course listings.
From the site: The University of Toronto
Why I recommend it: Where Hinton's group worked. Useful for finding the original papers and the people still there, rather than for courses you can enrol in.
Computer scientist Scott Aaronson takes stock of where AI actually stands in 2026 — what has arrived, what he got wrong, and how to think clearly about the hype and the fear at the same time.