Self-study is certainly possible! If you are a novice in the field of artificial intelligence, you can take a look at this learning plan. Some of the resources are linked. In addition to books, it will be better to learn with some videos.
Book: "Artificial Intelligence: A Modern Approach (AIMA)"
A rare comprehensive book that provides a general overview of the field of artificial intelligence, covering almost all the basic concepts a novice needs to know.
video:
https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-034-artificial-intelligence-fall-2010/lecture-videos/
The Artificial Intelligence course series of video lectures introduces basic knowledge through interesting practices such as training AI to play games. If the video is too fast to keep up with, you can cooperate with the book (modern method) above to find related concepts.
2. Machine Learning (the intersection of computer science and statistics)
video:
If the machine learning foundation is weak, you can go to the TutsPlus course "Machine Learning Distilled" to see a brief introduction to the relevant concepts. The Andrew Ng machine learning course on Coursera also has an explanation of the basic concepts and also introduces most of the important algorithms.
（https://www.coursera.org/learn/machine-learning/）
If you don't know enough about ML algorithms, you can use the following teaching videos to understand
"Machine Learning Distilled" by TutsPlus (brief overview)
Udacity Course on ML by Perer Norvig
Tom Mitchell 的 Another course on ML
Book: Programming Collective Intelligence