Build your own RAG system using Azure + LangChain
Master RAG (Retrieval-Augmented Generation) with hands-on projects and expert mentorship
Event Dates
Venue Details
Early Bird Pricing
Why This Workshop?
Build Smarter. Retrieve Smarter.
Hosted by Simplify AI Tools
Join an exclusive 2-day hands-on program where you'll master RAG (Retrieval-Augmented Generation) with LLMs. Perfect for developers, analysts, or AI enthusiasts aiming to apply GenAI to real-world data and document search.
To ensure deep learning and personal guidance, we're capping the batch at 20 participants only
- ✓ Project-based learning—learn by building, not just listening
- ✓ Direct mentorship from GenAI experts
- ✓ Certificate, slides, codebase, prompt packs
- ✓ Peer networking & expert feedback
- ✓ Goodies + exclusive discounts on future programs
- 📚 RAG vs Fine-Tuning: When and why to use each
- 🔧 Core Concepts: Transformers, embeddings, vector search
- ⚡ Build with LangChain + Azure: Step-by-step RAG pipeline
- 🎯 Retrieval Techniques: Chunking, hybrid search, re-ranking
- 🚀 Optimize for Scale: Performance, cost, and security
- 🏗️ Capstone Project: Build and deploy your own RAG app
📅 Day 1: Foundations & Setup
- • Python refresher (basics to functions)
- • LLM & Transformer overview
- • Prompt engineering techniques
- • LangChain setup & prompting
- • RAG basics + use cases
- • Vector DBs & embeddings
- • Document chunking & indexing
🚀 Day 2: Build & Deploy
- • Streamlit UI basics
- • Build a RAG QnA app
- • Improve retrieval (hybrid, reranking)
- • Scale RAG: cost, performance, security
- • Capstone project with hands-on demo
📚 Learning Materials
- • Course Workbook & Cheatsheets
- • GitHub Code Repo Access
- • RAG Architecture Blueprint (PDF)
🏆 Certification & Community
- • Printed Certificate of Completion
- • WhatsApp Community Access
- • Simplify AI Tools Swag 🎉
Basic Python knowledge is recommended to get the most out of this workshop. We'll provide starter code, but you should be comfortable reading and modifying Python code.
Yes, all participants who complete the workshop will receive a signed completion certificate.
We’ll primarily work with LangChain, Streamlit, and FAISS/Chroma for vector search. Python and OpenAI APIs will be used for building and testing RAG pipelines. All tools and access will be provided during the workshop.
Yes, please bring a laptop with Python and VS Code installed. We'll send setup instructions after registration.
Join the Workshop
- Access to all workshop materials
- Certificate of completion
- Exclusive community access
- Early bird pricing benefits
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