How to Master RAG & Build AI Agents That Remember Everything (Beginner → Production Guide)

Turn generic AI into a knowledge-powered system using Retrieval-Augmented Generation (RAG).

This complete course walks you step-by-step from beginner to advanced, helping you build AI agents that can retrieve, understand, and answer using your own data just like a real expert.

Based on a proven 5-stage pipeline, this guide simplifies complex concepts into actionable steps so you can build your own RAG system in a weekend.

What You’ll Learn:

• What RAG is and why it’s the future of AI applications
• The 5-stage RAG pipeline: Ingestion → Embedding → Storage → Retrieval → Generation
• How to convert raw data (PDFs, docs, etc.) into AI-ready knowledge
• Chunking strategies for better accuracy
• Using vector databases like Chroma, Pinecone, or pgvector
• Retrieval techniques (hybrid search, re-ranking, filtering)
• How to generate grounded answers using Claude
• Building your first working RAG app from scratch
• Common RAG mistakes and how to fix them
• Scaling from MVP → production-ready AI systems

Who Is This For?

• AI/ML learners and developers
• Indie builders & startup founders
• SaaS creators building AI features
• Anyone who wants to build custom ChatGPT-like systems

Why This Product is Different:

• Beginner → Advanced in one structured guide
• Focus on real implementation, not theory
• Covers end-to-end pipeline + production insights
• Helps you build a real working system, not just learn concepts