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Business demand for technical gen AI skills is exploding, and AI engineers who can work with large language models (LLMs) are in high demand. This Fundamentals of Building AI Agents using RAG and LangChain course builds job-ready skills that will fuel your AI career. In this course, you鈥檒l explore retrieval-augmented generation (RAG), prompt engineering, and LangChain concepts. You鈥檒l learn about the RAG process, its applications, encoders and tokenizers, and the FAISS library for high-dimensional vector search. Then, you鈥檒l apply in-context learning and advanced prompt engineering techniques, including prompt templates and example selectors, to generate accurate responses. You鈥檒l also work with LangChain鈥檚 tools, components, document loaders, retrievers, chains, and agents to simplify LLM-based application development. Through hands-on labs, you鈥檒l develop AI agents that integrate LLMs, LangChain, and RAG technologies. You will also complete a real-world project you can showcase in interviews. A comprehensive cheat sheet and glossary are included to reinforce your learning. Enroll today and build in-demand generative AI skills in just 8 hours!