AI & ML Roadmap
Math Foundations
Linear Algebra, Calculus, Statistics, and Probability for understanding model internals.
Advanced Python
Mastering NumPy, Pandas, and Matplotlib for data manipulation and visualization.
Machine Learning
Supervised and Unsupervised learning: Regression, Classification, and Clustering algorithms.
Checkpoint — ML Engineer
Deep Learning
Neural Networks, Backpropagation, CNNs for Vision, and RNNs for sequence data.
NLP & Transformers
Natural Language Processing, BERT, GPT architectures, and Attention mechanisms.
Checkpoint — AI Researcher
Model Deployment (MLOps)
Docker, FastAPI, Model Serving, and CI/CD for scalable AI applications.
Ultimate Goal — Senior AI Architect