Learning path · Industry Certifications · 95
Databricks Generative AI Engineer Associate
Proctored Databricks credential for designing and deploying LLM applications—especially RAG—using Model Serving, MLflow, Vector Search, and Unity Catalog.
Why it matters
- Validates platform-specific RAG and lifecycle skills, not generic ChatGPT use.
- Governance via Unity Catalog is part of the exam story.
- Fits data platforms already standardized on Databricks.
Key ideas
- RAG on Databricks
- MLflow lifecycle
- Unity Catalog
The Databricks Certified Generative AI Engineer Associate exam expects you to decompose a GenAI product, pick models and tools, and ship RAG-style applications on the Databricks Data Intelligence Platform. Official materials emphasize Vector Search, Model Serving, MLflow, and Unity Catalog—not a generic notebook demo. Databricks recommends months of hands-on work and recertification on a two-year cycle. Study the current exam guide; map gaps to this path’s production RAG, evaluation, and governance pages. The badge is strongest when you can show a governed index and eval gates, not only a passing score.
Updated 2026-08-21 · Full learning path