Databricks GenAI Engineer Associate (GENAI-ASSOC)

This section targets GENAI-ASSOC, the Databricks GenAI Engineer Associate exam. It focuses on the practical structure of GenAI systems on Databricks: chunking and embeddings, vector search, retrieval quality, evaluation loops, and deployment trade-offs. The guide content treats RAG as a systems problem, not just a prompt-writing problem.

RAG: Retrieval-augmented generation, where an application retrieves relevant documents first and then uses them as context for the model response.

Use the cheat sheet for rapid review of retrieval and deployment patterns. Use the FAQ for candidate-fit and study questions, and use the resources page when you need official Databricks references.

In this section

• GENAI-ASSOC Study Plan (30 / 60 / 90 Days)
  A practical GENAI-ASSOC study plan you can follow: 30-day intensive, 60-day balanced, and 90-day part-time schedules with weekly focus and RAG-first practice tips.
• GENAI-ASSOC Cheatsheet — RAG, Vector Search, Evaluation & Deployment on Databricks
  Last-mile GENAI-ASSOC review: embeddings and chunking, vector search relevance, RAG prompt patterns, evaluation loops, and production trade-offs (cost, latency, governance).
• GENAI-ASSOC FAQ — Databricks GenAI Engineer Associate Questions Answered
  Common GENAI-ASSOC questions answered: prerequisites, what to focus on (RAG, vector search, evaluation), and how to practice effectively.