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!
MM
The hands-on is manageable, yet allow learners to experience the actual flow of using the tools.
KA
I liked that the course focuses on the main concepts and demonstrating them in a simple way. The Labs are easy to follow.
PA
This is a really good course, provided you have an introduction on GenAI already. A good refresher.
KC
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
Descriptive Course. I think some Labs need to update to latest libraries because some functions getting failed or generate warnings
MS
An amazing course. A little fast paced but fulfills its purpose of delivering the knowledge in a such a short span of time.
FL
Interesting, it does have practical labs and content quiz.
AM
The robotic voice of the reader made the experience a little fake, but the content was interesting
RR
I loved the content and the passing of the course. Thanks for all the info.
HB
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.
ZL
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.
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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.
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.
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 :)
Descriptive Course. I think some Labs need to update to latest libraries because some functions getting failed or generate warnings
It is excellent to learn prompt engineering, RAG and LangChain, so that the application of LLMs can be much more than chatbot.
An amazing course. A little fast paced but fulfills its purpose of delivering the knowledge in a such a short span of time.
I liked that the course focuses on the main concepts and demonstrating them in a simple way. The Labs are easy to follow.
The hands-on is manageable, yet allow learners to experience the actual flow of using the tools.
I loved the content and the passing of the course. Thanks for all the info.
this course has been useful and very rewarding, highly recommended.
Interesting, it does have practical labs and content quiz.
BEST COARSE FOR BUILDING A FUNDAMENTAL IN GEN AI
Well-structured and easily digestible modules.
Very informative and interesting
So helpfully! Thanks a lot....
veri nice and intuitive
Thanks IBM
Thanks
bueno
good