DL Engineering Course:

Full Stack Deep Learning is a great practical course:

• Good focus on ML infrastructure issues.
• Has quite a few heavy hitters as contributors.
• Lots of practical pointers. Roughly lives here compared to other sites

Fast.AI course:

https://www.amazon.com/Deep-Learning-Coders-fastai-PyTorch/dp/1492045527

A Very pragmatic book: https://github.com/fastai/fastbook

More Advaced ML Topics:

I've always been a big fan of the MLSS (Machine Learning Summer School) though they can be a bit too specialized. There are plenty of topic byond Deep Learning. Videos and slides available:

• video lectures
• 2020 videos
• I find myself flipping back and forth between this and the Deep Dive Book

General Machine Learning

Bishop is a practical classic (esp. Graphical Methods):

• The book is widely taught at schools
• The YouTube lectures loosely associated with it are pretty good: