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Recommended resources
Module 1
Neural Network Foundations
Module 2
Applied Deep Learning in PyTorch
Module 3
Sequence Modeling with Recurrent Networks
Module 4
The Transformer Architecture
Module 5
Foundations of Large Language Models
Module 6
Fine-Tuning and Parameter-Efficient Methods
Module 7
Prompt Engineering and In-Context Learning
Module 8
Retrieval-Augmented Generation (RAG)
Module 9
LLM-Powered Agents and Tools
Module 10
LLM Deployment and Inference Optimization
Module 11
MLOps for Generative AI
Module 12