Databricks Generative AI Engineer Associate Exam Prep [2026]

About this course

Prepare for the Databricks Certified Generative AI Engineer Associate exam with a focused, practical course designed for data engineers, ML engineers, AI developers, data scientists, and Databricks users who want to build and deploy Generative AI applications on the Databricks Data Intelligence Platform.

This course covers the core skills and concepts you need to understand for the certification, including retrieval augmented generation, embeddings, vector search, prompt engineering, model serving, MLflow, application evaluation, monitoring, governance, security, and production-ready GenAI workflows.

You will learn how Generative AI applications are designed on Databricks, how data is prepared for retrieval, how vector indexes support semantic search, how prompts and chains connect user questions to reliable answers, and how MLflow helps manage models, experiments, evaluation, and deployment. The course also explains practical decision points such as when to use RAG, how to evaluate answer quality, how to reduce hallucinations, and how to apply governance controls for enterprise AI systems.

The lessons are structured to help you connect exam topics with real-world implementation patterns. Instead of only memorizing definitions, you will build a clear mental model of how GenAI systems work on Databricks and how different platform capabilities fit together.

By the end of the course, you will be better prepared to review the exam objectives, answer scenario-based questions, and apply Databricks GenAI concepts in practical projects.

Prices, discounts and availability are set by Udemy. We may earn a commission when you purchase through links on this site.