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First, you should have noticed that AI is a broad topic. Hence, to learn it, you will need to go through the fundamental algorithms coursework and become good at coding to a certain degree. Then you will have to read about advanced topics/algorithms according to your need. Here is a pointer from where to start. MIT introductory courses are great to learn about algorithms and practice python coding. https://www.edx.org/xseries/mitx-computational-thinking-using-python On the other hand, ML is one specialty for AI. So you won't need to be as knowledgeable about algorithms and coding as AI require. Instead, you got to cover fundamental math and statistics courses. And you probably learned them in the university. Here is a long roadmap to learn ML: https://github.com/AMAI-GmbH/AI-Expert-Roadmap You could start by following: https://www.coursera.org/learn/machine-learning PS: you can obtain certificates for these courses by requesting a fee waiver. Finally, I would like to congratulate you on your curiosity. And I hope you can make good use of it.