I first learned to program on a IBM 5150, using the Intel 8086 processor, 640KB of RAM, and no hard drive! Back in those days, you really needed to know a lot of details about computers to even write a simple hello world program. Like about a page worth of difficult to decipher 8086 assembly code... Today you can do that same thing with just one line of simple code.
The point here is while programming has gotten much easier today, it does not mean you don't need to know at least some of the basic underlying fundamentals of computing. While computers are fast enough that you won't ever notice the performance of your code, there are surprisingly many instances where performance can be an issue. (Like building AI models, but also algorithms, for which performance isn't based on what language you use.)
So I don't just teach you Python, because once you have a basic grasp on the language itself, you can just google the rest. I don't even use many more advanced Python language features anyway, and I can always look them up as needed. What I do teach you is the fundamentals of computing and why Python works the way it does, and why people say Python is slow. In the course of learning Python, I will also show you some of the vast Python libraries people use for machine learning, which I think is the main reason for many people learning Python. I probably wouldn't have picked up Python otherwise, as I'm happy to use C/C++ for most things.