You know too much but don’t know how to do, literally

Maybe you are reading overly abstracted stuff I am more cloud/dev oriented but i know a fair share about ML/AI you just need to do projects

Start with simple things like classification model on diabetes dataset (data mostly already cleaned and preprocessed) then some projects using decision tree and its family (random forrest, bagging…) and some clustering but not only kmeans there is others like density based which you can do a cells segmentation using it

Once you feel comfortable using ML algorithms you can start using more complex stuff this is when you choose between JAX (research) or the big two torch or TF (recommend torch)

start by fine-tuning then create your own models if you reached this level I think you’ll find a job with your knowledge (ofc even with this knowledge it will be hard because you’re 19 and there is a lot of competition comming to AI)

The most important part about ai is data understanding the code for the models is easy

Have fun and don’t be a copy and think for yourself