In this course, you will explore advanced AI engineering concepts, focusing on the creation, use, and management of embeddings in vector databases, as well as their role in Retrieval-Augmented Generation (RAG).
You will start by learning what embeddings are and how they help AI interpret and retrieve information. Through hands-on exercises, you will set up environment variables, create embeddings, and integrate them into vector databases using tools like Supabase. As you progress, you will take on challenges that involve pairing text with embeddings, managing semantic searches, and using similarity searches to query data. You will also apply RAG techniques to enhance AI models, dynamically retrieving relevant information to improve chatbot responses. By implementing these strategies, you will develop more accurate, context-aware conversational AI systems. This course balances both the theory behind AI embeddings and RAG with practical, real-world applications. By the end, you will have built a proof of concept for an AI chatbot using RAG, preparing you for more advanced AI engineering tasks.
VK
las apps deben ser casos de uso utiles, mas que recomendar peliculas. Y si no tengo permitido salir a internet, como funciona localmente todo lo aprendido?
GT
Course is well structured and provides required knowledge in just 3 hours.
GS
This instructor from Srimba is outstanding! Deeply knowledgeable and terrific teacher and communicator: 5+ Stars
MM
Simple and easy to follow course with enough information about embeddings and vector databases with sample uses cases.
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This is an exceptional course taught by Guil, Covers most of the basics and lays a solid foundation on vector databases and embeddings concept with easy to understand examples combining concepts learnt from the previous courses in this specialization was fun. I would recommend it to everyone learning to build LLM applications in javascript.
las apps deben ser casos de uso utiles, mas que recomendar peliculas. Y si no tengo permitido salir a internet, como funciona localmente todo lo aprendido?
Simple and easy to follow course with enough information about embeddings and vector databases with sample uses cases.
This instructor from Srimba is outstanding! Deeply knowledgeable and terrific teacher and communicator: 5+ Stars
Course is well structured and provides required knowledge in just 3 hours.
Very nice lesson, very nice teacher!
Great resource, very educative
Great pace
luv u guys
رائعه
good
na
explain the course content poorly, could not explain how to setup environment variable. This course is about as bad as Agentic AI protocols ( MCP, A2A, ACP) by Coursera instructor, i am learning to only take courses offered by reputable universities, like Michigan, Geis, Vanderbilt to name a few, or reputable organizations like Google, Microsoft etc. Deep learning(Andrew Ng) wants to charge for everything , why is he part of coursera if none of his courses are included as part of coursera plus? independent instructors or offerings by Scrimba, Packt etc. are useless and waste of time. My opinion and i have taken quiet a few courses on Coursera platform.