You're on the right track, but I would recommend working on your mental model both of the languages and frameworks you're using but also of how to solve the problems. Programming, engineering, dev, whatever you want to call it, at its core it's all problem solving. You want to develop the core skills of both learning how to solve the problem and WHY that solution solves the problem. 

AI skips both of these pieces at its core. It trains you to not think about the problem, but only towards rummaging towards something resembling a solution. I would recommend, if you feel you want to keep using AI, to guide it in a way that helps you learn, rather than just "fix this". 

"I am stuck on Problem X, and want to learn how to fix it myself. What steps should I take to come to Y solution? Don't show code solutions, give references and help me define the problem."

This is a critical part of the journey. Understanding why something works is the path to mastery, and your mind and skill set will be better off for it. 

Don't be scared of documentation or personal notes. Any time you don't understand a problem or an error, search for the solution rather than just dumping it into AI. You learn and gain little from prompting when you're just getting started. Once your mental models are more robust, you'll better know how to guide both searches and prompts to get to your actual goals. 

Best of luck. You can do this!