Production based RAG System
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Production based RAG System

  • Master end-to-end RAG system building — from data preparation and chunking strategies
    to retrieval optimization using AWS Bedrock Knowledge Base and S3.
  • Explore and compare multiple retrieval strategies, evaluate performance across approaches,
    and build advanced multi-strategy RAG pipelines.
  • Deploy a production-ready RAG chatbot to AWS using ECR and ECS Fargate for scalable,
    real-world applications.

Created by Selva Prabhakaran

  • 28 Video Lessons

  • English

What you will learn

01

Data preparation and setup

fundamentals

02

Chunking strategy comparison building

03

AWS S3 knowledge management design

04

Bedrock Knowledge Base integration development

05

Retrieval performance evaluation

06

Multi-strategy retrieval building retrieval

07

Advanced RAG pipeline design

patterns

08

AWS deployment with Fargate

Course Curriculum

Requirements

  • Courses Page1 Basics of Python
  • Courses Page1 Foundational knowledge of Data Science
  • Courses Page1 High school maths

Who should attend this course?

  • Data Science Aspirants

  • Data Science Professionals

  • Software/Data engineers interested in quantitative analysis

  • Professionals working with large datasets

  • Data analysts, economists, researchers

About the course

You will learn the following skills by the end of the course:

  • RAG Architecture
  • Chunking Strategies
  • AWS Bedrock Knowledge Base
  • S3 Knowledge Management
  • Retrieval Evaluation
  • Multi-Strategy Retrieval
  • AWS Fargate Deployment
  • Docker Containerization
  • AWS ECR
  • Data Preparation for RAG
  • Production Chatbot Architecture
  • Vector Search
  • Prompt Engineering for RAG
  • Chi-Square test ANOVA test
  • Scalable API Deployment

Instructor

Selva Prabhakaran Principal Data Scientist

My name is Selva, and I am super excited to mentor you on this project!

With over the last 10 years of my data science experience I’ve deployed 20+ global products. I’m also the Chief Author of Machine Learning Plus, which has over 4M annual readers.

I specialize in covering the in-depth intuition and maths of any concept or algorithm. And based on my existing student requests, I’ve put up the series of courses and projects with detailed explanations – just like an on the job experience. Hope you love it!

  • 4.8+Instructor rating

  • 200+ reviews

  • 75K+students

  • 80+ Courses

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