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Recommended resources
Module 2
Algorithms and Efficient Numerical Programs
Module 3
Linear Algebra, Matrix Calculus, and Automatic Differentiation
Module 4
Probability and Information Theory for Modern Models
Module 5
Optimization Theory and Optimizer Mechanics
Module 6
Deep Learning Mechanics with PyTorch
Module 7
Transformer Mathematics and Core Implementation
Module 8
Autoregressive Language Models from Tokens to Generation
Module 9
Vision Transformers and Vision–Language Modeling
Module 10
Parameter-Efficient Adaptation and Compute Optimization
Module 11
FastAPI Model-Serving Systems
Module 12