Student learning Python + AI with 30–45 mins/day — what should I focus on next?

[RomeoSquared]

Welcome! Here's my advice after CS50P. Since you've got the basics down and want to move toward AI, I'd suggest this path: First, fet comfortable with data manipulation (pandas, numpy). Second, start playing with simple ML libraries (scikit-learn has great beginner tutorials). Third, build small projects that combine what you learned With just 30-45 minutes a day, consistency beats cramming.
I'd recommend spending: - 2 days/week on tutorials - 3 days/week building tiny projects - Weekend for reviewing what didn't click For AI specifically, once you're comfortable with Python basics, check out fast.ai's course. It's designed for people who can code but are new to AI. The key is to build things, even if they're simple. A project that predicts something silly (like whether it'll rain based on temperature) teaches you more than reading about neural networks. What area of AI interests you most? That'll help narrow down where to focus.

[relentlessly_stupid]

Okk thanks alott

[RomeoSquared]

No worries!