This course focuses on the essential skills needed to build data pipelines specifically for Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems. Participants will learn about the architecture and components involved in creating efficient data workflows. The course will cover data ingestion, processing, and storage techniques tailored for LLMs and RAG applications. Practical examples will be provided to illustrate the implementation of these pipelines. By the end of the course, learners will be equipped to design and deploy their own data pipelines.