[wmurmann]

I started with Andrew Ng's Coursera class. There are 5 different courses and I went through the first course and 3/4 through the 4th on conv nets. I would say he does a really good job of explaining the basics but the code is a little dated as AI is moving so fast.

I'm a few weeks in to Fast.ai and the professor keeps it high level and has more focus on application than theory. You jump straight into working on image classification which is broken down into clear concise steps that gives you some confidence moving forward. If you do take the course make sure to plug in your own data and get a feel for how everything works before jumping to the next video.

I would say its good to have some knowledge of the basics, so watch a few weeks worth of Andrews course while it's still free(7 day trial). Skip over the programming assignments because they are too low level and verbose. Then when you think you have a good sense how things work jump over to Fast.ai and start coding.