⚡ AI Engineering
SE → AI Engineer: 6-Month Roadmap
A structured 6-month curriculum for a software engineer transitioning to AI/ML Engineering. Progresses from Python & ML fundamentals through deep learning, MLOps, and applied AI systems, ending with portfolio and job positioning.
2
Minutes
8
Concepts
+15+30
Read+Quiz
1
Month 1 — Python, Data Handling & ML Foundations
- Advanced Python for ML: list/dict comprehensions, generators, decorators, typing
- NumPy + Pandas for data manipulation and analysis
- Data preprocessing: cleaning, normalization, feature engineering
- Basic statistics: distributions, mean/variance, hypothesis testing
- Core ML concepts: supervised vs. unsupervised, overfitting, bias/variance tradeoff
- scikit-learn: linear regression, logistic regression
- Project: End-to-end dataset → model → evaluation pipeline