The learning path for the Databricks Generative AI Engineer Associate certification is now fully structured and cohesive. It begins with a self-paced Generative AI Fundamentals course that lays the groundwork for LLM concepts and practical use cases. From there, you progress through a structured Generative AI Engineering learning pathway—available in training modules or instructor-led classes—covering RAG (Retrieval-Augmented Generation), prompt chaining, LLM fine-tuning, deployment via Model Serving, Vector Search, MLflow lifecycle management, and governance using Unity Catalog. Completing these modules readies you for the proctored certification exam, which validates your ability to architect, build, evaluate, and deploy GenAI solutions end-to-end on the Databricks platform.