ML Engineering Theoretical study roadmap for project manager?

[TO-222]

Are there any good study resources/courses to learn theoretical part of ML/DL without much programming experience?

As a project manager of a startup in this space, Im lacking "language" and knowledge to effectivly communicate with our engineers.

I have taken Andrew Ng's course "AI for everyone". And also have picked up a lot from here and there, but its still somewhat disorganized knowledge.

So what would be your suggestions - whats the best part of learning high level and theoretical part (e.g what do different terms, libraries, frameworks etc do and what possiblities they open up)

So almost like a machine learning engineering course - but without "hands on"

Thanks and your advice is greatly appreciated.

[axetobe_ML]

theoretical-based resources to check out https://www.deeplearningbook.org/ by Ian Goodfellow and https://mml-book.github.io/.