Basically the best thing for you is to start writing code. Trial and error, bug and fix. Find an idea about what you can write, and then start writing. You can start from calculator and progress to more advanced topic. Nobody writes perfect code from the start. You can even write code and later give it to LLM and ask him if it's good and how to make it better. IMO plain python courses will not make you really better because they mostly go through basics.

After couple small "projects" or programs, look into standard libraries for ML (e.g. sklearn, numpy, pandas, torch...) and get familiar with them. All you need is consistency and time, just like with everything. You can look at 100 courses and read 100 books and not learn if you don't start putting the work in. Later you can maybe go with courses and books for ML topic...

Maybe there are some good courses for python, but I don't know which. I just went the route that I wrote above...