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Databricks Certified Generative AI Engineer Associate (GENAI-ASSOC) — Study Hub

Blueprint-aligned GENAI-ASSOC prep: overview, objective-by-objective syllabus, a comprehensive GenAI-on-Databricks cheat sheet (RAG, vector search, evaluation, MLflow), 30/60/90-day study plan, FAQs, resources, and practice.

Meet your Databricks Generative AI Engineer Associate (GENAI‑ASSOC) home base. This hub is built for GenAI workloads on Databricks: RAG, embeddings, vector search, evaluation, and production patterns with MLflow.

What you’ll find here

  • Overview : what’s tested and how to prepare efficiently.
  • Study Plan : 30/60/90‑day schedules with weekly focus + practice integration.
  • Syllabus : objective-by-objective breakdown organized by topic with quick links to drills.
  • Cheatsheet : high-yield RAG + vector search + evaluation + deployment pickers.
  • Practice : topic drills and mixed sets to build pacing.
  • FAQ : common questions on prerequisites, difficulty, and strategy.
  • Resources : official Databricks GenAI docs and references.
  • Updates : content changes and syllabus mapping updates.

What GENAI‑ASSOC emphasizes (in one paragraph)

Expect scenario questions about building GenAI applications safely: turning unstructured data into embeddings, retrieving relevant context (vector search), designing prompts, evaluating quality, and deploying with observability. The exam is about systems, not prompt memes: data quality, chunking, retrieval, governance, and cost control drive real outcomes.

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In this section

Data Engineer Professional (DE-PRO)
ML Associate (ML-ASSOC)