The Complete LangChain & LLMs Guide
Completed by Harshal Burde
February 10, 2026
13 hours (approximately)
Harshal Burde's account is verified. Coursera certifies their successful completion of The Complete LangChain & LLMs Guide
What you will learn
Build production-ready LangChain applications using prompts, chains, agents, LCEL, and memory to create scalable AI workflows.
Design Retrieval-Augmented Generation pipelines with embeddings, vector databases, retrievers, and advanced search strategies for accurate responses.
Create end-to-end AI applications by integrating LLMs, document, structured outputs, Streamlit interfaces, and real-world deployment patterns.
