Premium CourseadvancedDec 2024 Updated

Deep Learning Master Track

From GPU Kernels to LLMs & Generative AI. A unified track covering the full spectrum of modern deep learning.

What you'll master

module-end review checkpoints to confirm retention before progressing

implementation labs and mini projects tied directly to module outcomes

cumulative artifacts that build toward an end-to-end portfolio deliverable

written design or analysis checkpoints where learners must explain trade-offs, not just code solutions

Prerequisites

Strong Python & PyTorch fluency
Linear algebra, calculus, and probability fundamentals (see Advanced Math for AI)
GPU access (local or cloud) for kernel and training labs

Deep Dive

Foundations - Understand the role of the Foundations track inside the full deep learning pathway Transformers - Understand the role of the Transformers track inside the full deep learning pathway NLP - Understand the role of the NLP track inside the full deep learning pathway Vision - Understand the role of the Vision track inside the full deep learning pathway Generative - Understand the role of the Generative track inside the full deep learning pathway

Final Deliverable

Generative specialization plan.