๐งญ AI ENGINEER ROADMAP (Python-First | Beginner โ Advanced)
A clean path that actually works ๐
1๏ธโฃ Python foundations
Syntax, functions, OOP, virtual envs.
Write clean, readable code first.
2๏ธโฃ Math for AI (just enough)
Linear algebra basics
Probability & statistics
(No PhD needed.)
3๏ธโฃ Data handling
NumPy โข Pandas
Clean, transform, analyze data.
This is daily AI work.
4๏ธโฃ Machine Learning core
Scikit-learn
Regression โข Classification โข Evaluation
Understand why, not just APIs.
5๏ธโฃ Deep Learning
PyTorch / TensorFlow
Neural nets โข CNNs โข basics of Transformers.
6๏ธโฃ AI projects (non-negotiable)
Spam classifier
Recommendation system
LLM-powered app
Projects > courses.
7๏ธโฃ Deployment & MLOps basics
APIs (FastAPI)
Model serving
Monitoring & versioning.
AI engineers arenโt made by watching tutorials.
Theyโre built by training models, shipping projects, and explaining decisions.