LLM Course is an open-source learning program focused on large language models, from foundational concepts to practical model engineering. It covers topics such as transformer architectures, tokenization, fine-tuning, quantization, inference, evaluation, retrieval, alignment, and techniques used to build and adapt modern open-source language models.

The repository combines explanations, notebooks, exercises, and links to supporting resources, making it useful for learners who want a structured path beyond basic prompt engineering. Its emphasis is on understanding how LLMs are trained, optimized, evaluated, and deployed, so it can serve both as a self-study curriculum and as a technical reference for practitioners working with open models.