Databricks Certified Generative AI Engineer Associate Study Guide

Databricks Certified Generative AI Engineer Associate Study Guide: Generative AI with Databricks

As generative AI transforms modern data engineering and machine learning, earning the Databricks Certified Generative AI Engineer Associate certification demonstrates both technical expertise and practical knowledge in building AI-powered solutions. This comprehensive study guide is designed to help professionals, developers, data engineers, and AI practitioners prepare for the Databricks certification exam while gaining hands-on experience with cutting-edge generative AI technologies.

Written by AI expert Rajaniesh Kaushikk, this book offers complete coverage of generative AI concepts, large language models (LLMs), retrieval-augmented generation (RAG), prompt engineering, and the Databricks Lakehouse Platform. Through practical examples, guided exercises, and real-world use cases, readers will learn how to design, build, deploy, and govern production-ready AI applications.

The book explores key Databricks technologies, including Delta Lake, Vector Search, Unity Catalog, MLflow, model serving, and Hugging Face integrations. Readers will discover how to create scalable AI workflows, manage data pipelines, track experiments, and deploy secure and efficient generative AI applications. The certification exam focuses on designing LLM-enabled solutions, selecting appropriate models and tools, implementing RAG architectures, and managing AI governance using Databricks-specific services.

Inside this study guide, you will learn:

• Core concepts of generative AI and large language models (LLMs)
• Prompt engineering techniques and evaluation strategies
• Building retrieval-augmented generation (RAG) applications
• Working with Databricks Vector Search and semantic retrieval
• Data preparation and management using Delta Lake
• Experiment tracking and lifecycle management with MLflow
• AI governance and security using Unity Catalog
• Integrating Hugging Face models into Databricks workflows
• Designing and deploying AI agents and LLM chains
• Best practices for model serving, monitoring, and optimization
• Certification-focused exercises, quizzes, and hands-on labs

The Databricks Certified Generative AI Engineer Associate Study Guide is ideal for data engineers, machine learning engineers, AI developers, solution architects, and cloud professionals seeking to validate their expertise in generative AI and Databricks. Whether you are preparing for the certification exam or building enterprise-grade AI solutions, this book provides the knowledge and practical skills needed to succeed in the rapidly evolving world of generative AI.