Generative AI Solutions with Databricks Hands-On GenAI, RAG, and Agentic AI

Struggling to turn generative AI theory into real solutions your team can actually build? Generative AI Solutions with Databricks gives you the hands-on guidance you need to go from experimentation to implementation using the platform designed for scalable data and AI innovation.

This playbook connects theory with real-world application through step-by-step examples you can run, modify, and deploy immediately. You'll learn how to create retrieval-augmented generation (RAG) pipelines, develop intelligent agentic systems, and harness the power of LLMs--all within the Databricks environment.

Written by a team of Databricks-certified experts with extensive enterprise experience, this book is for data engineers, scientists, and architects who want to start using GenAI in practical ways without starting from scratch. You'll move quickly, build intelligently, and understand not just what works but why it works. Start building GenAI systems that deliver--on a platform your team already knows and trusts.

• Understand core GenAI concepts, including LLMs, embeddings, and prompt engineering
• Deploy scalable RAG and agentic AI solutions using Python, LangChain, and Databricks
• Explore security, governance, and ethical considerations for enterprise-grade deployments
• Learn from working code examples designed to be reused and adapted in real projects