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!
Status: LLM Application
LLM Application
Status: Generative AI Agents
Generative AI Agents
Intermediate·Course·9 hours
Featured reviews
4.0
·Reviewed Mar 14, 2025
The robotic voice of the reader made the experience a little fake, but the content was interesting
4.0
·Reviewed Sep 29, 2025
This is a really good course, provided you have an introduction on GenAI already. A good refresher.
5.0
·Reviewed Aug 23, 2025
Descriptive Course. I think some Labs need to update to latest libraries because some functions getting failed or generate warnings
4.0
·Reviewed 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.
5.0
·Reviewed 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.
5.0
·Reviewed Oct 7, 2025
I loved the content and the passing of the course. Thanks for all the info.
5.0
·Reviewed 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.
5.0
·Reviewed Feb 8, 2025
The hands-on is manageable, yet allow learners to experience the actual flow of using the tools.
5.0
·Reviewed Jun 8, 2026
well rounded and offers more practice and applicable examples than other AI courses i have taken
5.0
·Reviewed 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 :)
5.0
·Reviewed Sep 10, 2025
Interesting, it does have practical labs and content quiz.
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Showing: 20 of 47
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M
Mohammad
3.0
·Reviewed Mar 7, 2025
I didn't like the quality of this course so much. It was not easy to understand the material. The instructor voice sounds very robotic ( sounds like it's a TTS) and speaks too fast with little effort to simplify concepts. Also they were using lots of vague and empty phrases that say nothing concrete (Examples: LangChain provides an environment to build applications, LangChain facilitates tools and ideas for customization). It feels like reading from a marketing brochure of LangChain.
L
lu
2.0
·Reviewed Apr 11, 2025
lecture content: dead internet course. This seems like a course about AI where the content is generated by AI and spoken by AI. I would think the value of using AI in education is to make good content more efficiently.
notebooks: thorough and clean. I wish they put the same effort into the lectures as they did the notebooks.
L
Lawrence
5.0
·Reviewed Aug 26, 2026
I found the AI Dialogue activity in the first module to be extremely helpful. It felt like a real teacher was checking in on my understanding right after the reading, which made the learning experience more engaging and effective. This kind of interactive follow-up is a game changer and greatly improves motivation and comprehension. I strongly encourage making AI Dialogues a standard feature across all courses in this specialization and beyond.
Thank you for this innovative approach!
K
Kamila
5.0
·Reviewed Sep 30, 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 :)
W
Wasana
5.0
·Reviewed Aug 24, 2025
Descriptive Course. I think some Labs need to update to latest libraries because some functions getting failed or generate warnings
L
LO
5.0
·Reviewed Nov 30, 2024
It is excellent to learn prompt engineering, RAG and LangChain, so that the application of LLMs can be much more than chatbot.
M
Mudassir
5.0
·Reviewed Apr 27, 2025
An amazing course. A little fast paced but fulfills its purpose of delivering the knowledge in a such a short span of time.
K
Kareem
5.0
·Reviewed Oct 24, 2025
I liked that the course focuses on the main concepts and demonstrating them in a simple way. The Labs are easy to follow.
T
Tom
5.0
·Reviewed Jun 8, 2026
well rounded and offers more practice and applicable examples than other AI courses i have taken
M
Miao
5.0
·Reviewed Feb 8, 2025
The hands-on is manageable, yet allow learners to experience the actual flow of using the tools.
R
Robert
5.0
·Reviewed Oct 8, 2025
I loved the content and the passing of the course. Thanks for all the info.
F
fabrizio
5.0
·Reviewed Jun 17, 2025
this course has been useful and very rewarding, highly recommended.
F
Fernanda
5.0
·Reviewed Sep 11, 2025
Interesting, it does have practical labs and content quiz.
