Inside this book.
Building generative AI applications on Databricks means juggling a specific set of tools, and this guide covers exactly which ones matter.
It's built around the Databricks Certified Generative AI Engineer Associate exam.
► Breaking down requirements before writing a single line.
► Choosing the right models and frameworks for the job.
► Key tools: Vector Search, Model Serving, and MLflow.
► Designing and deploying RAG apps and LLM chains.
► Data governance with Unity Catalog and semantic search.
Generative AI engineering on Databricks is a specific, in-demand skill set, not a generic AI credential.
✅ First-time exclusive release.
✅ Includes online practice exams with unlimited attempts.
✅ Downloadable in PDF and EPUB for offline reading.
Pick up this guide and start connecting the tools this role actually uses.
