DP-203T00: Data Engineering on Microsoft Azure Course Overview

Last Updated: 09 09 2025

The DP-203T00: Data Engineering on Microsoft Azure course provides a wide-ranging and detailed approach to the creation and adaptation of data engineering solutions using Microsoft Azure services. Participants will learn how to design and implement solutions with Azure Data Lake Storage Gen2, Azure Synapse Analytics, Azure Databricks, and Azure Stream Analytics. This course offers hands-on lab sessions that guide learners through real-world scenarios such as transforming data with Apache Spark pools, querying data using serverless SQL, and building real-time data pipelines with Stream Analytics.  

In this course we will also cover data ingestion, transformation, storage, security and monitoring. Participants will also learn to implement end-to-end security practices and manage compliance standards in a cloud-based environment. Integration with equipment such as power BI enables learners to visualize data insights and support business decision making processes. Additionally, the course introduces concepts around machine learning integration using Azure Synapse.  

This course is Ideal for data professionals and developers, this training equips participants with the skills required to deliver data solutions that support advanced analytics and enterprise intelligence.  As a leading provider in Cloud Technology Training, SSDN Technologies - recognized as the best corporate training company - offer this course to help businesses and professionals avail the full potential of data engineering capabilities of the azure. 
 

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Learning Options for You

  • Live Training (Duration : 32 Hours)
  • Per Participant

Fee: On Request

Course Prerequisites

Before attending this course, participants should have:

  • A fundamental understanding of cloud concepts and experience working with Azure services.
  • Basic knowledge of data concepts such as relational/non-relational databases, structured/unstructured data, and data storage options.
  • Experience with SQL language for querying and manipulating data.
  • Familiarity with ETL/ELT processes and basic programming (Python, Scala, or Java preferred).
  • Completion of Microsoft Azure Fundamentals (AZ-900) or equivalent knowledge is recommended but not mandatory.

Learning Objectives

The DP-203T00 course equips learners with the skills to design and build data solutions on Microsoft Azure. It covers data storage, ingestion, transformation, and integration using services like Azure Synapse, Data Lake, Data Factory, and Databricks. Participants will also learn to secure, optimize, and monitor data pipelines, preparing them for real-world projects and the Azure Data Engineer Associate certification.

Target Audience

This course is designed for:

  • Data Engineers who design and build secure, scalable data processing solutions.
  • Data Architects looking to optimize data platform performance.
  • Business Intelligence Professionals who need to design modern data solutions.
  • Developers & IT Professionals who want to learn how to integrate, transform, and consolidate data across systems using Microsoft Azure services.
  • Anyone preparing for the Microsoft Certified: Azure Data Engineer Associate certification.

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