I mentioned in an earlier post some free Amazon resources that are available for managing AI projects - I think those are really valuable and they are still available here:

ML for Business

These are really good for getting an overview of what a typical machine learning project looks like.

If you are interested in going a little more in depth and seeing the guts of what machine learning looks like it is worth taking a look at the TensorFlow tutorials:

TensorFlow Tutorials

There are five links on the bottom of the page that will take you to 5 different tutorials, I'm currently on the third, but it is very educational.

In one sense, these aren't for the faint of heart. They are really doing real machine learning, and if you're like me, you won't understand some of it. That's OK.

You need to look past a few things you don't know and just plow ahead they really do give you a great idea of how machine learning actually works.

Unlike the Amazon courses, which don't really require any prerequisites, you probably need some experience with development tools to get through the TensorFlow tutorials. They require that you are comfortable clicking a Play button like you run across in development environments, and sometimes you are kicked back warning messages that you have to look at, stomach, and promptly ignore.

While I've tweaked a couple of print statements to get the notebooks to show me different stuff, I'm really not messing with the core of what the notebooks do. I can generally make sense of it, but I don't have the skill to change the core logic of what these are doing.

I actually very much appreciate the concept of the notebook - it forces documentation into your work in a much more direct kind of way than traditional programming where comments and documentation are often an afterthought. Every example I've come across has had lots of helpful information (they are tutorials) and the text that is presented alongside the code is indispensable.

If you want to know more about machine learning, and you aren't afraid to see how the sausage gets made, it is worth checking it out. Highly educational.