Agentic AI

Vector Databases & RAG in Practice

Name: Vector Databases & RAG in Practice
Price: 1999.00 INR

Learn embeddings and vector databases (Pinecone, Chroma, pgvector), then use them to build Retrieval-Augmented Generation pipelines — chunking, retrieval strategies, hybrid search, and evaluation.

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Live Instructor SessionsHands-on Labs & ProjectsCertificate of CompletionCareer Support & Guidance

Duration41 min

Curriculum7 sections · 80 lessons

Tools you'll learn

Pinecone

Chroma

pgvector

Prerequisites

Working with LLM APIs

Learning outcomes

What you'll be able to do by the end

Generate and store embeddings in a vector database
Design chunking and retrieval strategies for RAG
Evaluate RAG pipeline quality
Project: build a working RAG pipeline over a real document set

Course Content

Welcome & Orientation3 items

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Course Roadmap: From Embeddings to a Working RAG Pipeline

Embeddings & Vector Search23 items

Building a RAG Pipeline24 items

Advanced RAG Techniques10 items

RAG in Production10 items

Security & Governance for RAG Systems7 items

Project: Build a RAG Pipeline11 items

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Reviews from Google

“The hands-on labs made all the difference -- I was deploying real pipelines by week 3, and landed a role within a month of finishing.”

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