Databricks Certified Generative AI Engineer Associate 2026

About this course

The Databricks Certified Generative AI Engineer Associate certification validates foundational skills for developing and deploying generative AI applications using Databricks technologies. The certification focuses on practical knowledge of large language models, Retrieval-Augmented Generation (RAG), vector search, model serving, prompt engineering, evaluation, and responsible AI practices. This course is designed to help candidates prepare through realistic, scenario-based practice rather than simple memorization.

This course provides full-length practice tests covering the major knowledge areas you should understand when preparing for the Databricks Certified Generative AI Engineer Associate exam.

Practice questions focus on:

Generative AI & LLM Fundamentals - foundation models, large language models, prompt engineering, model capabilities, inference, embeddings, tokens, and selecting appropriate approaches for different GenAI use cases

Retrieval-Augmented Generation (RAG) - document processing, chunking, embeddings, retrieval, vector databases, context construction, response generation, and techniques for improving RAG application quality

Databricks GenAI Tools & Technologies - Databricks Vector Search, Model Serving, MLflow, external models, foundation models, and selecting appropriate Databricks capabilities for production applications

Application Development & Evaluation - building GenAI applications, prompt optimization, evaluating responses, monitoring performance, improving application quality, and troubleshooting common issues

Governance & Responsible AI - security, privacy, access control, data governance, responsible AI, monitoring, and production considerations for enterprise generative AI applications

Each practice question includes a detailed explanation of the c

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