Udemy
MLflow for MLOps & LLMOps: Master MLflow with Databricks
Artificial Intelligence · Data Science · Development
Library / Artificial Intelligence
On Udemy
Databricks Certified Generative AI Engineer Associate Exam Preparation – Master Enterprise AI on the Lakehouse
Begin your journey to becoming a certified Databricks Generative AI expert with our comprehensive practice test course for the Databricks Certified Generative AI Engineer Associate certification. This preparation package is meticulously designed to equip you with the critical skills needed to design, build, deploy, and govern cutting-edge generative AI applications on the Databricks Lakehouse Platform.
Whether you’re aiming to pass the exam or enhance your skills as an AI engineer, this course offers an immersive learning experience aligned with the official exam blueprint. You’ll work through real-world AI development scenarios while building confidence in using Databricks Machine Learning, MLflow, Vector Search, and foundational models to create Retrieval-Augmented Generation (RAG) systems, automate fine-tuning workflows, and integrate LLMs into enterprise solutions. The practice tests simulate the structure, tone, and difficulty of the actual certification exam, helping you become exam-ready while developing job-ready AI capabilities.
What You’ll Master:
Foundational Model Integration: Leverage Databricks Foundation Model APIs and external model providers to embed LLM capabilities into production workflows.
Vector Search & RAG Pipelines: Implement and optimize vector databases and retrieval pipelines for context-aware, accurate generative AI responses.
Fine-Tuning & Model Management: Customize and fine-tune foundation models using Databricks AutoML, MLflow, and managed compute for domain-specific tasks.
Prompt Engineering & Evaluation: Design, version, and systematically evaluate prompts and model outputs for safety, relevance, and business alig
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Udemy: 2026-09-27 · Coursera: 2026-09-27
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