I’m currently learning computer science and getting into AI. I’d love to know your recommendation for the best learning path to master AI — from beginner to advanced — using your courses and specializations.
My goal is to build a strong foundation in deep learning, machine learning, and practical AI applications.
Which order or roadmap would you suggest to follow through your courses for maximum results?
Thank you for your guidance and for all the incredible work you do in AI education.
I recommend you start with a forum search for the term “roadmap”.
You also need to have a personal definition of what “best learning path” means for your needs.
Also keep in mind that “mastering AI” never happens - the field moves to quickly into new areas and methods. At best it’s an endless task of sprinting to keep up with the rate of change.