What you'll learn

Building and deploying GenAI applications requires selecting the right components and balancing cost, latency, security, and operational requirements. In this course, Databricks Certified Generative AI Engineer Associate: Assembling and Deploying Apps, you’ll gain the ability to assemble and deploy GenAI applications on Databricks. First, you’ll explore how to build model chains, assemble RAG applications, register models with MLflow, and create and query AI Search indexes. Next, you’ll discover how to configure model serving, manage application resources and persistent storage, and select appropriate solutions based on technical requirements. Finally, you’ll learn how to integrate MCP servers, manage prompt versions, apply CI/CD practices, and develop interactive interfaces. When you’re finished with this course, you’ll have the skills and knowledge of assembling and deploying GenAI applications on Databricks needed to solve implementation scenarios and prepare for the Databricks Certified Generative AI Engineer Associate exam.