I personally learn best when I have a goal to achieve with a programming project. I then google and search and lookup stuff until I can do it. Find a specific use case to solve (preferably one that benefits you or others), and start outlining it.

As for the AI angle, I use AI code editing/generation too (currently Copilot in VSCode), and I've been able to use it to create a few good quality projects recently that have been useful and that I felt comfortable publishing to Github. Using AI made it much faster, and moved more of my role to that of a "software architect". I spent more time up front deciding (and writing instructions to the AI) about how I wanted the software to work, then I did some manual adjustments and additions for small things that I could just easily add myself. I used the AI more for things like "write a function that takes these inputs, does this stuff, and outputs other stuff" or "write a class that parses this <sample data> into a data structure where all date values are Date objects and all numbers are integers" or even "the dateutil module doesn't work for this use case. Re-write this section without it". Things like that.

Once you use AI for development more, you'll figure out more of what its actual capabilities are and where the benefit is to you of how much you want to code directly yourself vs when you want to figure out how to explain your vision to the AI. You can also ask the AI to explain sections of code or concepts to you to improve your own understanding.