Databricks Generative AI Engineer Associate Exam Prep

About this course

This course contains the use of artificial intelligence. Databricks Certified Generative AI Engineer Associate Exam Prep is a scenario-based certification preparation course designed to help you think like the exam, revise key Databricks GenAI topics, and practice 100 real-world exam-style scenarios. This course helps you prepare for the Databricks Generative AI Engineer Associate certification by focusing on RAG, Vector Search, embeddings, chunking, MLflow, PyFunc, Model Serving, Unity Catalog, Feature Serving, guardrails, evaluation metrics, monitoring, governance and production GenAI application design.

The course is built for learners who do not want only definitions. The real exam tests whether you can read a business scenario, identify the hidden requirement, eliminate distractors, and choose the best Databricks-native solution.

A useful exam-thinking framework for this course is:

• Business Requirement -> Data Type -> GenAI Pattern -> Databricks Tool -> Deployment or Governance Decision -> Exam Answer
• This framework connects the major decisions you will practice throughout the course.

Databricks Generative AI Engineer Associate Exam Focus

The Databricks Generative AI Engineer Associate certification requires practical understanding of how to design, build, deploy, govern and evaluate Generative AI applications using Databricks-native capabilities.

This course translates those exam expectations into practical scenario-based lessons.

You will not simply memorize that Vector Search is used for semantic search. You will learn when a scenario requires Vector Search, when it requires Feature Serving, when it requires a SQL tool, when it requires RAG, when it requires PyFunc, and when it requires governance through Unity Catalog.

Read the full description on Udemy on Udemy (opens in a new tab)

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