Ready to boost your AI career by mastering next-level retrieval techniques for intelligent search and summarization? This hands-on course takes you deep into the world of Retrieval-Augmented Generation (RAG), advanced retrievers, and vector databases such as FAISS and Chroma DB. You'll gain the cutting-edge skills businesses need to design and build scalable, high-performance RAG applications that drive smarter search and response capabilities.
During the course, you'll learn how to differentiate retrieval patterns, implement similarity search using FAISS, and integrate LangChain with modern UI frameworks such as Gradio. Then, in practical labs and guided projects, you'll get hands-on experience building an end-to-end AI application that retrieves, summarizes, and answers questions in real time.
From multi-query and parent document retrievers to semantic vector search and evaluation, this course will give you the skills to improve internal search engines, chatbot accuracy, and content recommendation systems.
Enroll today and enhance your portfolio with hands-on experience building AI that understands context—and delivers results.
Status: UI Components
UI Components
Status: Large Language Modeling
Large Language Modeling
Intermediate·Course·8 hours
Featured reviews
5.0
·Reviewed Mar 13, 2026
Its a wonderful course I got so far. I completed this and got good grasp in advanced vector DBs and finally ended with good profile of Gen AI Engineer lead role. Must watch.
5.0
·Reviewed Jun 1, 2026
Excellent material and assignments to grasp key concepts clearly!
All reviews
Showing: 10 of 10
All Learners
All Stars
Most Helpful
C
Christos
5.0
·Reviewed Mar 26, 2026
Excellent course! A note: some notebooks need a review because some libraries need updated versions. Not a blocker; someone with sufficient knowledge can overcome it, but I can imagine being a blocker for someone who is new and doesn't have enough experience (e.g., with Python, library management, etc.).
C
Ctesibius
5.0
·Reviewed Jul 24, 2026
This course has been a major step forward for my understanding of RAG. It gave me the solid foundation needed to solve complex challenges that standard, simple RAG architectures fail to handle. The curriculum provides excellent, practical insights into advanced techniques such as recursive searching, multi-querying, Query Fusion, and hybrid search with BM25. It is a must-take for anyone looking to build robust retrieval systems for real-world scenarios.
M
Manjula
5.0
·Reviewed Mar 14, 2026
Its a wonderful course I got so far. I completed this and got good grasp in advanced vector DBs and finally ended with good profile of Gen AI Engineer lead role. Must watch.
F
Filip
5.0
·Reviewed Mar 30, 2026
Great course. All lab examples very well prepared and fully functional.
N
N.Srinivas
5.0
·Reviewed Jun 2, 2026
Excellent material and assignments to grasp key concepts clearly!
P
prateek
5.0
·Reviewed Oct 5, 2025
one of awesome course I enrolled
C
Cristian
5.0
·Reviewed May 5, 2026
Excelente curso.
D
Dudekula
5.0
·Reviewed Aug 25, 2026
Excellent
J
Jannes
2.0
·Reviewed May 14, 2026
I would say the course and especially the readings and questions are mainly AI generated. The topics are clearly layed out, but the questions are just randomly associated with those topics and do not contribute to any understanding.
O
OM
1.0
·Reviewed Sep 21, 2025
WORST TEACHINGS HERE, NOT PROPERLY TAUGHT. EXPECTED MUCH BETTER .... I WANTED TO DOWNLOAD ALL THE PDF AND PPT SLIDES SHOWN IN THE VIDEOS. FOR SOME REASON I DONT FIND ANY ???
REALLY WORST TEACHERS HERE , THEY DONT PROVIDE PDF FILES FOR THE PRESENTATION.
I WILL NOT RECOMMEND THIS COURSE TO ANYONE
