Fundamentals of AI Agents Using RAG and LangChain
Completed by Po-Hsu Chen
January 24, 2026
9 hours (approximately)
Po-Hsu Chen's account is verified. Coursera certifies their successful completion of Fundamentals of AI Agents Using RAG and LangChain
What you will learn
In-demand, job-ready skills businesses seek for building AI agents using RAG and LangChain in just 8 hours
How tapply the fundamentals of in-context learning and advanced prompt engineering timprove prompt design
Key LangChain concepts, including tools, components, chat models, chains, and agents
How tbuild AI applications by integrating RAG, PyTorch, Hugging Face, LLMs, and LangChain technologies
Skills you will gain
- Category: Large Language Modeling
- Category: Generative AI Agents
- Category: Embeddings
- Category: Generative AI
- Category: LLM Application
- Category: Tool Calling
- Category: Context Engineering
- Category: Retrieval-Augmented Generation
- Category: Prompt Patterns
- Category: Prompt Engineering
- Category: Hugging Face
