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DatabricksAssociate

Databricks Certified Generative AI Engineer Associate

Shows you can design and build LLM-powered solutions on Databricks, from preparing data to deploying and monitoring.

Official page ↗
Issuer
Databricks
Level
Associate
Exam format
45 scored multiple-choice questions · 90 minutes · no test aids
Valid for
2 years
Focus
Building generative AI apps
Who it is for
Engineers who build generative AI solutions on Databricks.
Before you start
None required. Databricks recommends 6+ months of hands-on experience with the tasks in the exam guide.

What the exam covers

Listed as the issuer lists them, with weights where the issuer publishes them.

Key terms to know

Words from this certification's topic areas, in plain English. Know these and the study material will be much easier to follow.

Large language model (LLM)
A foundation model that reads and writes text.
Chunking
Splitting documents into small pieces so they can be searched.
Embedding
A list of numbers that captures the meaning of text, so similar meanings end up close together.
Vector database
A database that finds items by how similar their meaning is.
Retrieval-augmented generation (RAG)
Looking up relevant documents first, then giving them to the model to answer from.
Prompt engineering
Writing instructions so a model gives better answers.
Evaluation (evals)
Tests that measure how good a model or an AI app is.
MLflow
An open-source tool for tracking experiments and managing models.
Unity Catalog
Databricks' central place to govern data and AI assets.
AI governance
The policies, roles and records that control how AI is built and used in an organisation.

Build the knowledge here

Our lessons are not exam prep for this certification, but they cover the same ground.

Details last checked Oct 7, 2026 against the issuer's own pages. Exams, versions and rules change. Confirm on the official page before you book. We are not affiliated with Databricks.

Databricks Certified Generative AI Engineer Associate — what it covers · Route To AI