Source: https://prompt-s-site.thinkific.com/courses/ragThe course is dedicated to the practical and theoretical study of Retrieval-Augmented Generation (RAG). You will learn not only “how” but also “why” these methods work, and you will also learn how to create reliable “chat with documents” applications using modern LLMs and advanced RAG techniques.
The program includes building a basic pipeline, moving to advanced strategies like re-ranking and query expansion, and working with both commercial and local models. The course combines theory with practical programming in Python and the use of tools such as LangChain and Streamlit.
The course is suitable for developers, SaaS product founders, and managers who need to quickly extract value from large volumes of text information. By the end of the course, you will have your own functioning RAG pipeline and a deep understanding of approaches that allow you to take applications to a new level of performance.
Download Links
Password: cms.ddpanda.org
