This is the answer. Unfortunately there is a plethora of dubious machine learning and AI tutorial clickbait material appearing on the internet to sell ads.
Here are some resources I've found which don't suck if you actually want to learn this stuff:
https://karpathy.ai/zero-to-hero.html <- Karpathy's "neural networks - zero to hero". The other ones (eg the transformers ones on youtube also seem excellent to me after an initial skim although I haven't got to actually working through them yet).
https://probml.github.io/pml-book/book2.html (Draft book "Probabilistic machine learning: Advanced topics" by Kevin Murphy) <- looks seriously excellent although I've really only taken a cursory dip into it so far. He's also got 2 other books at https://probml.github.io/pml-book/ which are more introductory in nature which I expect are probably great too.
Here are some resources I've found which don't suck if you actually want to learn this stuff:
https://ai.stanford.edu/courses/ <- Stanford's AI course materials.
https://karpathy.ai/zero-to-hero.html <- Karpathy's "neural networks - zero to hero". The other ones (eg the transformers ones on youtube also seem excellent to me after an initial skim although I haven't got to actually working through them yet).
https://ocw.mit.edu/search/?q=artificial%20intelligence and https://ocw.mit.edu/search/?q=machine%20learning (MIT's relevant opencourseware)
https://probml.github.io/pml-book/book2.html (Draft book "Probabilistic machine learning: Advanced topics" by Kevin Murphy) <- looks seriously excellent although I've really only taken a cursory dip into it so far. He's also got 2 other books at https://probml.github.io/pml-book/ which are more introductory in nature which I expect are probably great too.