That course is extremely good. Particularly the first six videos start from literally nothing (but basic math/coding), and build all the way up to AI models that were state of the art a matter of years ago.

The way Andrej explains things is brilliant - he'll write some code to visualize the data, then point out something that looks anomalous, suggest a possible cause, then write code to fix the problem, and then after it's all implemented say "oh by the way that function we just wrote is also a standard pytorch API". And you wind up understanding the API in a way you never would have if he'd started by introducing the API and then explaining what problem it solves.

The final video (on ChatGPT) skips ahead a fair bit, but is still a great explanation of how attention works. Incidentally I don't know any python but I had no trouble following along.

Also curious about how either of them compare to the Andrew Ng one: https://www.coursera.org/learn/ai-for-everyone

It’s really good! I especially like how he explains the code with the Attention is All You Need paper. His State of GPT talk at Microsoft is a great follow up. https://m.youtube.com/watch?v=s6zNXZaIiiI

Absolutely, Google's free course is just a promo plug to get you sucked into GCP. I prefer courses that are not tied to any particular cloud vendor.

I'm watching this now and maybe he explains in detail soon, but he starts off talking about loss functions and back propagation and tensors and this very much does not feel like a course for someone with python and vague memories of high school calc.