Crack Databricks Generative AI Engineer Associate Exam (Udemy.com)
Master RAG, LangChain, Vector Search & MLflow to Build GenAI Apps and Pass the Databricks Certification
Created by: Deepak Goyal
Last updated March 2026
What you will learn
- Confidently crack the Databricks Generative AI Engineer Associate Certification with mock questions and scenario-based practice.
- Design end-to-end Generative AI applications using Large Language Models (LLMs) with Databricks
- Craft effective prompts using real-world frameworks (SALT, RTF, CTF, CoT) to optimize LLM responses.
- Build RAG (Retrieval-Augmented Generation) pipelines using tools like LangChain, LlamaIndex, and Mosaic AI Vector Search.
- Prepare high-quality data by extracting, chunking, and storing it in Delta Lake with Unity Catalog for scalable LLM use.
- Choose and integrate the right models (LLMs, embeddings, tools) based on task, cost, latency, and context window.
- Implement safety guardrails and data governance using prompt sanitization, masking, and Unity Catalog.
- Deploy and monitor LLM apps with MLflow, Model Serving, and inference tracking tools in Databricks.
How it compares
Against the other 848 rated Udemy courses in IT Certifications on CourseDuck:
- Rating4.3 out of 5higher than 18% of them
- Reviews1,227#250 of 849 by number of reviews
- Length5.8 hoursshorter than 62% of them
- Last updatedMarch 2026more recently than 53% of them
Course Description
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:
The fundamentals of Generative AI, LLMs, and Prompt Engineering
How to build RAG (Retrieval-Augmented Generation) applications using LangChain and Mosaic AI Vector Search
Strategies for chunking and preparing data using Delta Lake and Unity Catalog
How to deploy GenAI apps using MLflow, Model Serving, and Inference APIs
Setting 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 APIs
Includes mock questions and exam preparation tips
No prior GenAI experience needed — beginner-friendly!
Instructor Details
- 4.3 Rating
1,227 Reviews
Deepak Goyal
Hi, I'm Deepak Goyal, a certified Big data, and Azure Cloud Solution Architect.
I have 13+ Years of experience in the IT industry and 10+ Years of experience in Big data world.
I was among the few who has worked on Hadoop Big data analytics (since the Year 2011) before the popular advancement and adoption of Public cloud providers like AWS, Microsoft Azure, or Google Cloud Platform (GCP)
I help businesses to define the data-driven architecture and make robust data platform over the cloud to scale up their business.
Writing about Microsoft Azure technologies is one of my favorite works outside the office.
I help people to understand cloud concepts and technologies like Azure Data Factory, Azure DataBricks, Apache Spark, Azure Synapse Analytics, Azure Key Vault, Encryption Decryption, Azure Blob Storage, Azure monitor, logging, Snowflake cloud data warehouse, and many more complex tools and technologies.
I am a famous Azure blogger, my blog ranks number 1 on google search for more than 100+ keywords.
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Reviews
By Shreedhar Sudarshan Nara on 7/20/2026
Great Explanation!! Thanks !!
By Gopal Sikhawal on 6/30/2026
The course explained complex technical concepts in a very simple and easy-to-understand manner.
By Suvendu Kar on 5/28/2026
Half of the sessions are partially completed. It seems like the next session starts without completing the previous one. Instead of creating a lot of chapters, the code snippet can be shared as resources for that particular chapter and multiple 1-2 mins chapters can be combined to get a meaningful session. Also, please remove the image of the instructor as its sometimes blocking the contents. Thanks
By Olukunmi Popoola on 5/15/2026
An amazing introduction to the topic. Fit for purpose. Easy and practical demos
By Rafi Shaik on 5/6/2026
Its very good, Please share the PPT showcase code in git repo.
By vishal Nikam on 4/13/2026
value added course.. if you will add few more use cases it will help to Understand concepts better
By Rohit Sharma on 4/11/2026
It was a good course. Kudos to the creators hard works. May be a bit outdated. I have the exam next week. Lets see if the content aligns with the quesitons.
By Akhil Tripathi on 4/7/2026
The course content was well-structured, easy to understand, and the instructor explained concepts clearly. It really helped me improve my knowledge.
By Signal Runner on 2/18/2026
Some video edits of re-takes need cleaning up. In the early examples of RAG he continually misspells and mispronounces Data "fiduciary". Test questions are too obvious and not at the same difficulty level as the real exam. They should generally contain two clearly wrongs answers, one almost correct answer, and one correct answer. This is how the exam questions are generally constructed to test knowledge.
By Pallavi Jog on 1/30/2026
Course covers all the topics required for exam. However, its not enough to clear the exam. I have exam today and found that most of the questions were around the actual syntax of code which is not covered in any of the quiz. Quiz is just a repetitive questions that doesn't help much. Also videos are abruptly cut short at the end, contents are hidden behind the instructor.
Quality Score
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Overall Score : 86 / 100







