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IBM

Fundamentals of AI Agents Using RAG and LangChain

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’ll explore retrieval-augmented generation (RAG), prompt engineering, and LangChain concepts. You’ll learn about the RAG process, its applications, encoders and tokenizers, and the FAISS library for high-dimensional vector search. Then, you’ll apply in-context learning and advanced prompt engineering techniques, including prompt templates and example selectors, to generate accurate responses. You’ll also work with LangChain’s tools, components, document loaders, retrievers, chains, and agents to simplify LLM-based application development. Through hands-on labs, you’ll 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!

状态:Tool Calling
状态:Context Engineering
中级课程小时

精选评论

ZL

4.0评论日期:Mar 29, 2026

The projects are great but actually reads a bit AI-generated. The tutorials were way too fast and could've sound less like just reading slides.

MM

5.0评论日期:Feb 8, 2025

The hands-on is manageable, yet allow learners to experience the actual flow of using the tools.

MS

5.0评论日期:Apr 26, 2025

An amazing course. A little fast paced but fulfills its purpose of delivering the knowledge in a such a short span of time.

KA

5.0评论日期:Oct 23, 2025

I liked that the course focuses on the main concepts and demonstrating them in a simple way. The Labs are easy to follow.

HB

4.0评论日期:Apr 25, 2025

Course content was good but there was not much for us to do in labs. A hint based lab completely solved by the learner can be a good addition.

KC

5.0评论日期:Sep 29, 2025

Interesting, engaging, with easy to follow python code samples and explanations. Nice AI coach can help you to repeat the material or explain complex ideas. Enjoyable experience :)

WD

5.0评论日期:Aug 23, 2025

Descriptive Course. I think some Labs need to update to latest libraries because some functions getting failed or generate warnings

PA

4.0评论日期:Sep 29, 2025

This is a really good course, provided you have an introduction on GenAI already. A good refresher.

AM

4.0评论日期:Mar 14, 2025

The robotic voice of the reader made the experience a little fake, but the content was interesting

RR

5.0评论日期:Oct 7, 2025

I loved the content and the passing of the course. Thanks for all the info.

FL

5.0评论日期:Sep 10, 2025

Interesting, it does have practical labs and content quiz.

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