Azure Data Engineer MasterClass: DP-600 & DP-700 (Udemy.com)
DP-600 & DP-700, Azure Storage, SQL, Cosmos DB, Data Factory, Synapse, Databricks, Stream Analytics, Fabric, Lakehouse
Created by: Ankit Mistry
Last updated July 2026
What you will learn
- Learn Basic Data Engineering & Database Concept
- Learn Various Storage Product like Azure Storage, Queue, File, Table Storage
- Build structured data solution with various SQL database options
- Store Semi-structured data with CosmosDB
- Develop ETL, ELT Solution with Azure Data Factory
- Analyze Data with Data ware housing system - Synapse analytics
- Azure Data Factory Control Flow Activities
- Synapse SQL in Azure Synapse Analytics
- Apache Spark in Azure Synapse Analytics
- Azure Databricks
- Delta Lake & Data warehouse in Azure Databricks
- Work with real-time analytics using Azure Stream Analytics.
- Gain practical knowledge of Microsoft Fabric for data ingestion, lakehouse, Power BI integration, and real-time intelligence.
How it compares
Against the other 848 rated Udemy courses in IT Certifications on CourseDuck:
- Rating4.6 out of 5higher than 63% of them
- Reviews1,543#216 of 849 by number of reviews
- Length42.4 hourslonger than 97% of them
- Last updatedJuly 2026more recently than 73% of them
Course Description
Are you ready to become a highly skilled Azure Data Engineer and clear top Microsoft certifications like DP-600 (Fabric Analytics Engineer Associate) and DP-700 (Azure Data Analyst Associate)? This Azure Data Engineer MasterClass is designed to give you the knowledge, hands-on practice, and confidence you need to excel in both real-world projects and certification exams.
Why take this course?
The world is generating data at an unprecedented scale, and organizations need professionals who can design, build, and manage modern cloud data solutions. Azure and Microsoft Fabric have become leading platforms for enterprise analytics, and roles such as Data Engineer and Analytics Engineer are in high demand.
This course helps you step confidently into these roles with job-ready, industry-relevant skills.
What this course covers
You start with the foundations of Azure data storage, including Azure Blob Storage, Azure SQL Database, and Cosmos DB, learning how to store, manage, and query data efficiently.
Next, you dive into Azure Data Factory (ADF), where you build pipelines, automate workflows, and perform control flow and data flow transformations.
You then explore Azure Synapse Analytics, covering SQL-based analytics and Apache Spark for big data processing, with hands-on experience in batch and analytical workloads.
In Azure Databricks, you work with Delta Lake and modern data warehousing concepts for scalable data engineering solutions.
You also learn Azure Stream Analytics, enabling you to design real-time streaming pipelines for telemetry, event data, and live analytics.
Finally, you focus on Microsoft Fabric, Microsoft’s unified analytics platform. You will practice data ingestion, build lakehouses, integrate with Power BI, and implement real-time intelligence scenarios aligned with DP-600 and DP-700 exam objectives.
Learning by doing
This course is packed with hands-on labs, demos, and real-world scenarios that reflect the challenges faced by Azure Data Engineers and Analytics Engineers in production environments. You won’t just learn concepts—you’ll apply them in practical situations that build real confidence.
What makes this course different?
Covers DP-600 and DP-700 in a single MasterClass
Strong focus on Microsoft Fabric and modern analytics
Combines theory, hands-on demos, and real-world scenarios
Designed to build job-ready skills, not just exam knowledge
By the end of this course
You will be able to confidently design, build, and manage Azure and Microsoft Fabric–based data solutions, clear the DP-600 and DP-700 certifications, and move into a high-demand Azure Data Engineer or Analytics Engineer role.
Instructor Details
- 4.6 Rating
1,543 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 Hajar Noshad on 1/6/2026
Hi, thanks for the course. I have one concern: the second instructor mostly reads the slides, and the explanations feel too brief. It would be much more helpful to include more practical examples , clearer reasoning behind concepts, and more “why/when to use” guidance.
By Vivek Tomar on 10/16/2025
The concepts are clearly explained in simple language, making them easy to follow. The course begins with a well-defined objective that guides understanding without feeling overwhelming.
By Nainar Mohamed Sheik Mohideen on 9/25/2025
Not sure whether MS Fabric is just about all the database components (just tables, views , procedures ). Anything else to cover ? how to integrate synapse analytics and fabric ? will there be any high-level introduction to gel the learned modules together to have a better understanding of Azure?
By Naveen Chandu K on 4/26/2025
Very details explanation of ADF/Synapse/Streaming concepts/Databricks etc, each and every part is covered and well narrated. Many thanks for the fabric lectures included at the end very helpful to cover end to end associate data engineering part. Looking forward to seeing more lectures and attempting exam. Thank you very much.
By Shivam Singh on 2/5/2025
This course is easy to follow as each concepts is well explained with practical demo as well! I recommend this if some wants to pass the DP-203 certification!!
By Ashish Kusbhage on 12/17/2024
Great course! The instructor explains everything clearly, and the lessons are easy to follow. Highly recommend it for anyone looking to learn this topic, Thanks
By Neha Chaurasia on 5/21/2024
I liked the thoroughness of the video demos specially ADF and Stream Analytics. The Synapse Analytics part of the course was very lengthy due to very slow execution the videos were very lengthy and became distracting. At places the core concepts were not explained and everything was created with default settings.
By Anonymized User on 4/17/2024
I strongly recommend this course. Definitely, ADF is the best discussed and Databricks is the least discussed. At first, I was a bit annoyed that there were mistakes in some of the lessons, but later I realized that correcting them is also valuable. Often the cause of errors was on Azure's side and not on the lecturer's side. Good job Congratulations
By Pooja Labde on 11/21/2023
One of the best courses I've taken on Udemy! Each lesson built logically on the previous one, making it easy to follow along. The practical tips and real-world examples provided immediate value. Truly a gem for anyone looking to enhance their skills!
By Sachin Tekale on 11/21/2023
The content is well-structured, providing a comprehensive overview of DP-203 concepts and ensuring a smooth learning curve. The clarity of explanations, coupled with real-world examples, made even complex topics accessible and easy to understand. Thanks!
Quality Score
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Overall Score : 92 / 100












