Deep Learning Foundations

AI/ML Engineering Track | Phase 9

Modules

#	Module
1.1	NumPy, Pandas & Data Tooling for ML
1.2	PyTorch Fundamentals
1.3	Training Neural Networks
1.4	CNNs & Computer Vision
1.5	RNNs & Sequence Models
1.6	Backpropagation Deep Dive
1.7	Backpropagation and Autograd from Scratch
1.8	Self-Supervised Learning
1.9	Graph Neural Networks
1.10	Modern Transformers: RoPE, ALiBi, and Attention Variants