Where to go next after MIT intro to deep learning ?

I have a good background in maths and CS already but not in ML/AI.

I have followed as a starting point https://introtodeeplearning.com which is really great.

However a lot of important and fundamental concepts seem to be missing, from simple stuff like clustering (knns…), Naive Bayes etc to more advanced stuff like ML in production (MLops) or explainable AI.

What is the next step ?