1. COURSE OVERVIEW

What You Will Learn

This comprehensive program transforms you from a beginner into a production-ready RAG + Knowledge Graph engineer capable of building enterprise-grade hybrid retrieval systems. You'll master:

• Core RAG Systems: Build sophisticated retrieval-augmented generation pipelines with chunking, embedding, indexing, and reranking
• Knowledge Graph Engineering: Design, build, and query complex knowledge graphs using Neo4j and graph databases
• Hybrid RAG + KG Architecture: Combine structured graph reasoning with unstructured retrieval for superior AI systems
• Production Engineering: Deploy, evaluate, scale, and optimize real-world systems
• Enterprise Patterns: Implement hallucination control, cited answers, query routing, and explainability

Learning Path: Theory → Fundamentals → RAG Deep Dive → KG Deep Dive → Hybrid Systems → 10 Projects → Capstone

(If this looks like a lot, don't worry. We'll build up systematically. If it looks too simple, also don't worry - there's plenty of depth ahead.)