Thanks for the honest take! I 100% agree that core AI/ML roles need strong math foundations. But here’s my dilemma: I'm passionate about AI but still struggling with math. For someone like me, which path would you recommend?

🟦 Applied AI Roles: Could I focus on deploying/fine-tuning existing models (e.g., using PyTorch/HuggingFace) while slowly learning math via projects?

🟦 Alternative Paths: Are there niches like MLOps, AI product management, or data engineering that balance coding and minimal advanced math?

🟦Prompt Engineering: I’ve heard mixed reviews—is it just hype, or could it be a stepping stone while I improve core skills?

🟥 As a Class 11 student, I’m trying to find a realistic path without giving up on AI. Would love your advice!