This repository contains Jupyter Notebook materials for a course on generative AI with large language models. It teaches the fundamentals of how generative AI works, including the transformer architecture, model pre-training, empirical scaling laws, training and tuning techniques, inference optimization, and deployment strategies for real-world applications.