Looking for Interview Prep Resources for AI Intern Role (ML, GenAI, CV, NLP, etc.)

Hey everyone,

I have an upcoming technical interview for an AI Intern position. The role is focused on AI/ML, and I want to be as prepared as possible.

I’d really appreciate your help in suggesting quality resources (courses, videos, blogs, GitHub repos, etc.) that can help with:

🔹 Supervised/Unsupervised Learning
🔹 Model evaluation techniques (precision, recall, F1, confusion matrix, ROC, etc.)
🔹 Practical ML implementation (scikit-learn, pandas, etc.)
🔹 GenAI / LLM concepts (prompt engineering, fine-tuning, etc.)
🔹 NLP topics (tokenization, embeddings, transformers)
🔹 Computer Vision basics (OpenCV, CNNs)
🔹 Python + DSA for ML (especially for interviews)
🔹 Any common interview questions or company-specific patterns (if you’ve interviewed recently for similar roles)

I’m also open to mock interview groups, discord servers, or study buddies. Please drop links, playlists, or even your own tips. 🙏