This course provides an in-depth exploration of Large Language Models (LLMs) using the Hugging Face ecosystem. Participants will learn to deploy their first model and master essential skills such as prompt engineering and system design. The course covers techniques to control LLM outputs, manage conversations effectively, and create a vector knowledge base, including knowledge-augmented LLMs. Additionally, learners will implement the Retrieval-Augmented Generation (RAG) API, extend LLMs with tools and function calling, and develop agentic LLM systems using reusable patterns. Finally, the course will delve into Hugging Face inferencing and pricing models, equipping learners with the knowledge to leverage LLMs in real-world applications.