Prepare for the Databricks Certified Generative AI Engineer Associate exam with a complete video course built around the official exam guide. The exam tests whether you can design, build, deploy, govern, and evaluate generative AI applications on the Databricks Data Intelligence Platform, and this course covers every one of its six sections, with time spent in proportion to the exam’s weights.
The course runs about 4.3 hours across 144 lectures in 13 sections. Instead of a tour of features, it follows one fictional company, Harborline Insurance, as its team builds PolicyPal, a policy assistant that answers customer and agent questions from thousands of policy documents, looks up claims, respects each user’s permissions, and is evaluated and monitored in production. Every decision you’ll face on the exam appears in that story, with the reasoning behind it.
What makes this course different
Mapped to the exam guide. Every section names the exam section it covers, so you always know where you are and how much that section is worth. Real code, explained line by line. Python and SQL examples use ai_parse_document, Delta tables, Vector Search, LangChain, MLflow ResponsesAgent, Agent Framework deployment, ai_query, and MLflow GenAI evaluation. Decisions, not definitions. Lectures focus on when to choose one option over another: a chain or an agent, Vector Search or Genie or a Unity Catalog function, pay-per-token or provisioned throughput, standard or storage-optimized endpoints, a code scorer or an LLM judge.
