I don't know much about AI but for ML specifically Elements of Statistical Learning is fantastic. I find its explanations a lot easier to understand than other resources. I recommend you skim through it to get a taste. Additionally if you prefer lectures ETHZ has recordings of their ML class[1].

The best way to learn the details is of course to read the original papers. This is especially true for following along with the latest developments in deep learning.

[1] https://www.ethz.ch/content/vp/en/lectures/d-infk/2017/autum...