AI roles require a blend of data literacy, modeling intuition, and software engineering. This roadmap helps you build a portfolio that hiring managers trust.
1. Programming & data foundations
Learn Python, NumPy, Pandas, and visualization. Practice data cleaning and feature engineering.
2. Machine Learning
Understand linear models, tree-based methods, and clustering. Evaluate models and avoid leakage.
3. Deep Learning
Train neural networks with PyTorch/TensorFlow. Explore CNNs, RNNs, and Transformers.
4. MLOps
Serve models, track experiments, and monitor drift. Use FastAPI, Docker, and cloud.
5. Projects
Build end-to-end pipelines and deploy at least two models. Document your process thoroughly.
Consider the AI Course or our location pages for Noida and Delhi.