Udemy
Generative AI & LLM Engineering: RAG, LangChain, Fine-Tuning
Artificial Intelligence · IT & Software
Library / Artificial Intelligence
On Udemy
Are you ready to crack the Databricks Certified Generative AI Engineer Associate Exam and take your Generative AI skills to the next level?
This hands on course is designed to help you master Databricks tools and frameworks used to build real-world LLM applications and prepare you thoroughly for the official Databricks GenAI certification.
Whether you're a data engineer, ML developer, cloud professional, or AI enthusiast, this course will equip you with the skills and confidence to design, develop, deploy, and monitor end-to-end LLM-powered apps using Databricks.
What You’ll Learn:
How to build RAG (Retrieval-Augmented Generation) applications using LangChain and Mosaic AI Vector SearchStrategies for chunking and preparing data using Delta Lake and Unity Catalog
How to deploy GenAI apps using MLflow, Model Serving, and Inference APIsSetting up guardrails, masking, and governance to keep your models safe and compliant
How to monitor GenAI pipelines using MLflow metrics, inference logs, and evaluation tools
How to crack the Databricks Generative AI Engineer certification with real-world examples, mapped exam topics, and practice questions
Why This Course?100% aligned with the official Databricks exam guide
Practical demos, hands-on projects, and real-world case studies
Covers tools like LangChain, MLflow, Vector Search, Unity Catalog, LLM APIsIncludes mock questions and exam preparation tips
No prior GenAI experience needed — beginner-friendly!
Ready to start? Continue on Udemy to enroll.
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Udemy: 2026-09-27 · Coursera: 2026-09-27
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