Do you have any specific goals? Or any specific fields of interest?

I can tell you how I learned AI, and it might not be the way people do it today, but it is the right way :P

I began by learning the necessary mathematics. A subset of those was Linear Algebra, Calculus, Probability and Statistics. Then I started learning probabilistic machine learning from books like Bishop (https://www.microsoft.com/en-us/research/wp-content/uploads/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf)

After that I started to learn the field I wanted to be in. In my case, it was reinforcement learning so I studied the following books:

1. https://www.amazon.co.uk/Reinforcement-Learning-Introduction-Richard-Sutton/dp/0262039249/ref=pd_lpo_d_sccl_1/260-7111937-4310362?pd_rd_w=17ubp&content-id=amzn1.sym.bb13d3fc-af40-4fff-a822-e0e4c415da96&pf_rd_p=bb13d3fc-af40-4fff-a822-e0e4c415da96&pf_rd_r=J2ZHY1XWEGHNF996HBAT&pd_rd_wg=eh5Zp&pd_rd_r=003c8ff1-dc29-42b2-9857-9465b098e251&pd_rd_i=0262039249&psc=1

2. http://rlbook.busoniu.net/ - This is one of my favourite books on the topic.

3. (https://www.deisenroth.cc/pdf/fnt_corrected_2014-08-26.pdf)

I then started to read papers on the topics in ICML, ICLR, NeurIPS, JMLR, and the like.

In terms of coding, I learned Python and PyTorch. For that, I simply followed the tutorials online.

Then, transformers came, so I had to learn that, of course, followed by LLMs, VLMs, diffusions and so forth.

Hope this helps :-)