Grokking Gen AI is the next evolution in mastering the craft of building production-scale Gen AI systems. It focuses on advanced Gen AI patterns, production trade-offs, and sophisticated implementation — giving you both the expert-level reasoning to think like a Gen AI architect AND the production skills to build AI systems that serve millions with quality and reliability.

What makes this guide unique is its dual approach: you'll learn advanced concepts (Why use RAG? When to apply fine-tuning vs. prompt engineering?) alongside production implementation (How do I implement multi-modal RAG with hybrid search? How do I deploy fine-tuned models with monitoring?). This bridges the gap that senior engineers face — understanding Gen AI theory but struggling to implement advanced patterns in production.

While foundational Gen AI teaches why embeddings and prompts matter, this guide tackles how to build RAG systems processing 100K documents, implement fine-tuning while preventing catastrophic forgetting, orchestrate multi-modal pipelines with vision and audio, and make AI systems observable at enterprise scale — through real-world scenarios, sophisticated trade-off analysis, and hands-on advanced tool implementation.

This guide is your Gen AI proving ground: design at scale, implement advanced patterns, reason about accuracy vs. cost, deploy production systems, and most importantly, build the expertise of architecting and operating Gen AI applications in production.