Gain expertise in using vector databases and improve your data retrieval skills in this hands-on course! During the course, you’ll explore the fundamental principles of similarity search and vector databases, learn how they differ from traditional databases, and discover their importance in recommendation systems and Retrieval-Augmented Generation (RAG) applications. You’ll also dive into key concepts such as vector operations and database architecture to develop a strong grasp of Chroma DB's functionality. You’ll gain practical experience using Chroma DB, a leading vector database solution. And through interactive labs, you’ll learn to create collections, manage embeddings, and perform similarity searches with real-world datasets. You’ll then apply what you’ve learned by creating a real-world recommendation system powered by Chroma DB and an embedding model from Hugging Face; an ideal project to demonstrate your understanding of how vector databases improve search and retrieval in AI-driven applications. If you’re keen to gain expertise in using vector databases and similarity searches, both essential components of the RAG pipeline, then enroll today!
Very detailed and useful course in tersm of understanding fundamentals of Vector DBs. The last Lab project is very useful.
I'm impressed with the use case demonstrated and learnt a lot on how RAG works internally!
Good introduction into Vector DB, how it is working inside. Good examples.
The course is so good but not that much easy for beginners.
Brief yet complete in-depth understanding of vector databases along with a clear application taught and shown with RAG.
Good for beginner to understand very well key concepts
Following these labs which are written in Skills Network Labs is a bit cumbersome. Jupyter Notebooks were much easier to follow in previous courses.
Labs were outstanding. Made all my concepts clear.
Superb Content. Star of the show is the new AI Powered Podcast capability. The live interaction in it is something that really blew my mind.
I got clear understanding of Vector DB in this course
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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.
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
Following these labs which are written in Skills Network Labs is a bit cumbersome. Jupyter Notebooks were much easier to follow in previous courses.
Superb Content. Star of the show is the new AI Powered Podcast capability. The live interaction in it is something that really blew my mind.
Very detailed and useful course in tersm of understanding fundamentals of Vector DBs. The last Lab project is very useful.
Brief yet complete in-depth understanding of vector databases along with a clear application taught and shown with RAG.
This is an amazing overview about vector database and chroma, I strongly recommend this one.
I'm impressed with the use case demonstrated and learnt a lot on how RAG works internally!
Good introduction into Vector DB, how it is working inside. Good examples.
The course is so good but not that much easy for beginners.
I got clear understanding of Vector DB in this course
Labs were outstanding. Made all my concepts clear.
Simple and clear presentation.
Excellent Course
finito il corso
Very efficient
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Good for beginner to understand very well key concepts
Great content, easy to follow, and hands on