Databricks Certified Data Engineer Associate Exam Guide (Udemy.com)
Databricks Data Engineer Associate Course with Practical Examples & Hands-On Training, Master Databricks Skills
Created by: Ankit Mistry
Last updated July 2026
What you will learn
- Databricks Clusters, Notebooks, data storage
- Databricks Lakehouse Platform (architecture, descriptions, benefits)
- Delta Lake
- ELT with Spark SQL and Python
- Relational entities (databases, tables, views)
- Accessing Data from Azure Data Lake Storage (ADLS)
- Structured Streaming, Auto Loader
- Delta Live Tables, Multi-hop Architecture
- Databricks Jobs
- Databricks Dashboards
- Data Governance
How it compares
Against the other 848 rated Udemy courses in IT Certifications on CourseDuck:
- Rating4.5 out of 5higher than 43% of them
- Reviews1,076#275 of 849 by number of reviews
- Length10.9 hourslonger than 61% of them
- Last updatedJuly 2026more recently than 73% of them
Course Description
Welcome to our comprehensive course on Databricks Certified Data Engineer Associate certification. This course is designed to help you master the skills required to become a certified Databricks data engineer associate.
Databricks is a cloud-based data analytics platform that offers a unified approach to data processing, machine learning, and analytics. With the growing demand for data engineers, Databricks has become one of the most sought-after skills in the industry.
In this course, you'll learn the core concepts of Databricks, including Databricks Lakehouse Platform, ELT with Spark SQL and Python, Incremental Data Processing, Production Pipelines, and Data Governance.
This course is designed by industry experts with years of experience in Databricks and data engineering. This course has theoretical concepts and hands-on labs to help you apply the concepts learned in the course.
Upon completion of the course, you'll be able to take the Databricks Certified Data Engineer Associate exam with confidence and succeed in your career as a data engineer.
At the end of this course you should be able to:
Understand how to use and the benefits of using the Databricks Lakehouse Platform and its tools, including:
Data Lakehouse (architecture, descriptions, benefits)
Data Science and Engineering workspace (clusters, notebooks, data storage)
Delta Lake (general concepts, table management, manipulation, optimizations)
Build ETL pipelines using Apache Spark SQL and Python, including:
Relational entities (databases, tables, views)
ELT (creating tables, writing data to tables, cleaning data, combining and reshaping tables, SQL UDFs)
Python (facilitating Spark SQL with string manipulation and control flow, passing data between PySpark and Spark SQL)
Incrementally process data, including:
Structured Streaming (general concepts, triggers, watermarks)
Auto Loader (streaming reads)
Multi-hop Architecture (bronze-silver-gold, streaming applications)
Delta Live Tables (benefits and features)
Build production pipelines for data engineering applications and Databricks SQL queries and dashboards, including:
Jobs (scheduling, task orchestration, UI)
Dashboards (endpoints, scheduling, alerting, refreshing)
Understand and follow best security practices, including:
Unity Catalog (benefits and features)
Entity Permissions (team-based permissions, user-based permissions)
Enroll now and take the first step towards becoming a certified Databricks data engineer associate.
Instructor Details
- 4.5 Rating
1,076 Reviews
Ankit Mistry
I am Ankit Mistry, with a Master’s degree from IIT Kharagpur specializing in Machine Learning and Artificial Intelligence. I bring over 8 years of industry experience as a Software Developer in a leading private investment bank, along with deep expertise in AI, automation, and cloud technologies.
Over time, I transitioned into full-time teaching, where I focus on practical, real-world skills in AI and cloud computing. My courses are designed to be highly hands-on, helping learners build real projects rather than just understanding theory.
I specialize in teaching:
- AI tools like Claude, Generative AI, and AI Agents
- Automation workflows and real-world AI applications
- Cloud platforms including Azure, and Google Cloud
- Data analysis and machine learning
My latest courses focus on cutting-edge topics like Claude AI, AI automation, and building intelligent agents, ensuring you stay ahead in the rapidly evolving AI landscape.
With over 266,000+ students and thousands of reviews, my goal is to help you gain practical skills that directly impact your career.
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Reviews
By Nisitha Kesireddi on 9/7/2026
good that it has some concepts which were explained clearly which was missing in other courses but missing some important concepts of updated certification syllabus. Would suggest it as an addition on top of other courses but not sufficient as an overall preparation guide.
By Mohamad Abdallah on 1/17/2026
The instructor jumps directly to the hands-on labs without explaining ahead what he is trying to do. That makes you confused; and therefore, you have to imagine and build the blocks in your mind while he is doing the labs. It would have been better if he had created a diagram before each hands-on session; and then explains what we are going to achieve and how before jumping into execution.
By CARLOS HENRIQUE DA SILVA AMARAL on 11/27/2025
The content is well-structured, clear, and practical, making complex concepts easy to understand. The quizzes and hands-on exercises are extremely helpful for reinforcing knowledge and preparing for the certification exam.
By LovlyBug on 4/25/2025
I am so so bad at coding and understanding tech things even though I'm a data engineer. I struggle so much to keep up with peers doing the same thing. But this course is explained so well, I'm actually getting it and even understanding things Databricks website couldn't explain so well. Well worth the money
By Pratik Hegde on 10/25/2024
The course is extensive and detailed. The content covers many basic concepts including certain setups with azure which usually you dont see in other courses for databricks. This i believe makes the content unique along with the topics covered specific to databricks. Recommended for anyone pursuing the data engineer certification.
By Murali Mohan on 1/23/2024
All the contents have been covered in detail with examples and explanations except the Unity Catalog which is part of the exam syllabus . There are no topics covered on Unity Catalog and hence 4 rating. Please check and add topic on Unity Catalog and will go through and provide 5 rating .
By Pavel Petrov on 11/22/2023
Yes, but some parts need to be more structured (academically :) ). It is not clear what exactly the presenter means architecturally and the student must go back to listen , stop the video and rethink what is the idea and some times (for me) there is too much stress on "obvious" expressions like "Create or Replace " with extra explanations. Some times there is a small issue with the pronounciation although I am fluent in English. All with good wishes :)
By Bhavik Gaikwad on 10/2/2023
I brought this course to take a certification on Databricks, as a student I found very informative pieces of information, and hands-on labs practical here. I strongly recommend it to beginners as well as intermediate candidates for their upskilling. Wish you the Best of luck Amit and team.
By Johannes Oehler on 6/16/2023
I purchased this course to prepare for the certification. I think everything in this course is very well explained and covers all the aspects required for the exam. I passed with a score of 86%. Thank you to the instructors for a very well done course.
By Ani Parwekar on 6/4/2023
Great course to learn databricks from scratch. The labs actually develop your interest and the instructors have put in lot of effort to demonstrate various examples. The instructors are very genuine in their approach and will make you feel at ease immediately. Strongly recommend this course to anyone who likes hands on way of learning a technology. Thank you.
Quality Score
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Overall Score : 90 / 100












