OnlineAppCreator

🧭 AI ENGINEER ROADMAP (Python-First | Beginner → Advanced) A clean path that actually works 👇 1️⃣ Python foundations Syntax, functions, OOP, virtual envs. Write clean, readable code first. 2️⃣ Math for AI (just enough) Linear algebra basics Probability & statistics (No PhD needed.) 3️⃣ Data handling NumPy • Pandas Clean, transform, analyze data. This is daily AI work. 4️⃣ Machine Learning core Scikit-learn Regression • Classification • Evaluation Understand why, not just APIs. 5️⃣ Deep Learning PyTorch / TensorFlow Neural nets • CNNs • basics of Transformers. 6️⃣ AI projects (non-negotiable) Spam classifier Recommendation system LLM-powered app Projects > courses. 7️⃣ Deployment & MLOps basics APIs (FastAPI) Model serving Monitoring & versioning. AI engineers aren’t made by watching tutorials. They’re built by training models, shipping projects, and explaining decisions.