You should try fast.ai practical deep learning for coders part 1 and 2. It's quite dated 2022 but the principles you learn are very valid and highly useful in today's context. Especially self attention, transformers and the newer architectures based on these concepts.
Many who have done the fast.ai course have pivoted their careers into not only ML engineers but also research scientists.
It's not an easy course so to speak so you have to work through it in your spare time.
Since you are interested in deploying/scaling feel free to jump straight ahead to lesson 2 of part 1. Jeremy is an awesome teacher. I don't like or come from academia so I find his style of teaching very wholesome.
Many who have done the fast.ai course have pivoted their careers into not only ML engineers but also research scientists.
It's not an easy course so to speak so you have to work through it in your spare time.
Since you are interested in deploying/scaling feel free to jump straight ahead to lesson 2 of part 1. Jeremy is an awesome teacher. I don't like or come from academia so I find his style of teaching very wholesome.
https://course.fast.ai/Lessons/lesson2.html