Level 3 · Advanced Deep Learning & MLOps

Goal: go deep: understand transformers from first principles, engineer serious PyTorch training code, and adopt the MLOps tooling that makes experiments reproducible and scalable.

Modules

1. Transformers & Attention from Scratch
2. Modern NLP with Hugging Face
3. Advanced PyTorch Patterns
4. Experiment Tracking (MLflow & W&B)
5. MLOps Foundations
6. Hyperparameter Optimization at Scale
7. Distributed & Accelerated Training
8. Model Compression & Efficiency
9. Advanced Computer Vision
10. Project — Reproduce a Research Paper