Building Production-Ready RAG Applications on AWS (Hands-on Workshop)

Retrieval-Augmented Generation (RAG) has become one of the key architectures for building reliable GenAI applications by combining the reasoning capabilities of Large Language Models with external, domain-specific knowledge.

Join AWS User Group Bhopal at MANIT Bhopal for a hands-on workshop where you'll learn how to design, build, and deploy a production-ready RAG application on AWS.

This workshop is designed for developers, software engineers, cloud practitioners, students, and AI/ML enthusiasts who want practical experience moving beyond basic RAG demos toward scalable, production-ready GenAI systems.

Rather than focusing only on theory, the session will emphasize architecture, live implementation, hands-on labs, deployment, and production best practices.

🚀 What You'll Learn

• Introduction to RAG and its real-world use cases
• Understanding Production-Ready RAG Architecture
• Document Ingestion and Processing
• Chunking Strategies for RAG
• Embeddings and Vector Search
• Retrieval and Context Generation
• Integrating Large Language Models
• Building an End-to-End RAG Pipeline
• Building RAG Applications using AWS
• Deploying and Scaling RAG Applications
• Security, Reliability, Performance & Cost Considerations
• Production Best Practices
• Interactive Q&A

💻 During the Hands-on workshop, participants will:

• Build a RAG application from scratch
• Process and prepare documents for retrieval
• Generate and work with embeddings
• Implement semantic/vector search
• Connect retrieved context with an LLM
• Build the complete retrieval-to-generation workflow
• Integrate AWS services into the architecture
• Deploy and test their RAG application on AWS
• Understand how to take a RAG prototype toward production

By the end of the workshop, you'll have practical experience building an end-to-end RAG application on AWS and a clearer understanding of the architectural decisions required to make RAG systems production-ready.

🎙️ Speakers
1. Balvinder Singh Saluja
Sr. Architect, AI at Platinion – Boston Consulting Group (BCG) | AWS Certified Solutions Architect – Professional

2. Satyam Sharma
Organizer – AWS User Group Bhopal | Creative Technologist & DevOps Engineer – House of Katha | Founder – EntropyDB, a Distributed Unified Multi-Model Database for AI-Native Applications

📅 Event Details
Date: 8th August 2026
Time: 11:00 AM – 2:00 PM
Venue: MANIT Bhopal (NIT Bhopal)

👥 Who Should Attend?

• Software Engineers
• Backend & Full-Stack Developers
• AI/ML & GenAI Engineers
• Cloud Engineers
• DevOps Engineers
• Students with programming experience
• Startup Founders & Builders
• Anyone interested in RAG, GenAI, and AWS

💻 Prerequisites

• Laptop
• GitHub Account
• AWS Account (recommended)
• Basic programming knowledge
• Basic understanding of cloud and Generative AI is helpful, but not mandatory
• Curiosity to build and learn

🎁 What Else to Expect?
This isn't just a technical session—it's an opportunity to learn, build, and connect with Central India's growing cloud and AI community.
✨ Build an end-to-end RAG application
☁️ Deploy and run it on AWS
🧠 Learn production RAG architecture and best practices
💻 Hands-on implementation and live coding
🎁 AWS swags for attendees (subject to availability)
🧠 Interactive quizzes and activities
🤝 Network with developers, engineers, students, founders, and cloud practitioners

Whether you're exploring RAG for the first time or already experimenting with GenAI applications, this workshop will help you understand what it takes to move from a working RAG prototype to a production-ready system on AWS.

Note: Seats are limited to ensure a high-quality hands-on experience. Please register early and bring your laptop.

We look forward to welcoming you to AWS User Group Bhopal at MANIT Bhopal for an afternoon of learning, building, and deploying production-ready RAG applications on AWS.