I’m currently taking an introductory AI course, and I have an exam in 3 days that includes coding labs. The topics we’ve covered so far include linear regression, logistic regression, and possibly PyTorch. I want to know the best way to quickly master the coding part. I’ve been using ChatGPT to help explain concepts but I want to be able to write and understand the code myself without over-relying on AI tools. How do you all approach learning these topics effectively? Do you repeat exercises until you memorize them, or do you focus on trying different examples and tweaking the code? Any tips or strategies for preparing for coding labs in such a short time? Thanks in advance for your advice!

What do I do next after finishing Python basics courses on Coursera? I have also completed mathematics courses, including linear algebra, calculus, and probability. I want to apply and solidify my knowledge by engaging in practical exercises and building projects. What should be my next steps?