A RAG chatbot is only useful if you can trust its answers and ship it with confidence. In this advanced course with Roya Kandalan, discover how to build and deploy a RAG chatbot that is customizable, reliable, and production-ready. Starting from a LangChain 1.0 starter project, learn how to create a chatbot with structured citations that keep responses accurate and traceable. Explore how to add middleware for logging and fallback behavior without touching your core code, then measure chatbot quality using tracing and automated metrics.
Discover how to prepare your chatbot for public deployment as an accessible, adaptable tool, ready for regulated environments such as healthcare and education. By the end of this course, you’ll be able to build, evaluate, extend, and deploy a RAG chatbot you can adapt for many use cases. This beginner-to-intermediate course suits developers, AI engineers, data scientists, and anyone eager to build conversational AI.
