how can I learn Machine Learning for Astronomical use? [D]

Im new to Astronomy and Juypter Notebooks and Ai machine learning for sure I have little skill in python but quick learner especially visual learning.

Are there any free tutorials I can use and free books to learn machine learning for astronomy

Example: use machine learning to run through jwst or tess pipeline data and look for signatures of possible blackholes or exoplanets?

Is there a juypter notebook with this ability already on there?

How can I make a custom juypter lab and git repos and python libraries and python scientific libraries? Should I use docker to place a juypter lab notebook in a container if so how?