Edoxi’s 32-hour online Data Engineering on Microsoft Azure course is specifically designed to prepare data professionals for practical, job-ready cloud data engineering roles. You gain hands-on expertise and industry-relevant skills through a comprehensive curriculum that aligns with Microsoft’s best practices and enterprise data engineering requirements.
Our course prepares you to confidently design, implement, and manage Azure-based data solutions. Participants build proficiency in data lakes, batch and streaming pipelines, transformation workflows, and real-time data streaming solutions using Azure Data Lake Storage, Synapse Analytics, and Databricks.
The training emphasises practical application through extensive lab exercises and real-world scenarios, enabling learners to orchestrate data transfer, implement transformation pipelines, optimise performance, and enforce security and governance across Azure data services.
Microsoft has retired the DP-203 certification and exam on March 31, 2025. While the exam will no longer be available after this date, the DP-203 training course will continue to be available.
By completing Edoxi’s DP-203 Data Engineering on Microsoft Azure course, you gain the skills and practical expertise required for Microsoft’s data engineering certifications. Microsoft now offers DP-700: Implementing Data Engineering Solutions Using Microsoft Fabric, and successful completion of this course prepares you for the Microsoft Fabric Data Engineer Associate certification.
You can work in fully configured Azure cloud environments to practically implement data engineering concepts and simulate real-world scenarios.
You can engage in expert-led discussions on architectural decisions, Azure best practices, and real-world implementation challenges.
You can develop complete data engineering solutions from data ingestion to analytics, including data lake setup and streaming pipeline implementation.
You can practice implementing RBAC, ACLs, and dynamic data masking to secure Azure data assets in line with industry standards.
You can master techniques to optimise Synapse queries and troubleshoot Spark jobs through hands-on, performance-focused lab sessions.
You can apply your skills to a real-world business use case, building a capstone data engineering solution that demonstrates end-to-end Azure data engineering expertise.
You can join this course if you are an experienced data professional or architect looking to expand your expertise into cloud-based data engineering using Microsoft Azure.
You can join this course if you work in BI and want to enhance your skills with Azure data platforms to build advanced analytical solutions.
You can join this course if you have cloud experience and want to specialise in designing and managing data engineering workloads and pipelines on Azure.
You can join this course if you have foundational SQL and Python skills and want to apply them to enterprise-scale data solutions in the cloud.
You can join this course if you are moving from on-premises data systems to cloud-based architectures and seeking career growth.
You can join this course if you work in analytics or data science and want to build, manage, or integrate analytical solutions on Microsoft Azure platforms.
Edoxi’s DP-203 Data Engineering on Microsoft Azure course includes comprehensive lab activities and practical sessions designed to reflect real-world data engineering challenges. Here are some of the major lab activities.
In this lab, you design and implement Azure Data Lake Storage Gen2 with an appropriate folder hierarchy and access integration to support analytical workloads.
During this lab, you apply time-based and category-based partitioning techniques to optimise query performance and manage data lifecycle across different storage tiers.
In this lab session, you configure Microsoft Purview to automatically catalogue data sources, establish end-to-end data lineage, and apply classification for governance requirements.
During this lab, you develop Azure Data Factory pipelines to extract data from multiple sources and implement suitable transformation and loading patterns.
In this lab, you implement Azure Event Hubs and Stream Analytics to process continuous data streams using windowing functions and generate analytical outputs.
In this session, you configure role-based access control, access control lists, and column-level data masking to secure sensitive data across the Azure data platform.
Completing Edoxi’s DP-203 Data Engineering on Microsoft Azure course equips you with practical, job-ready data engineering skills aligned with Microsoft and industry standards. Key outcomes include
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Join Edoxi’s DP-203 Data Engineering on Microsoft Azure Course
Edoxi delivers globally recognised Microsoft Azure Data Engineering training backed by industry expertise and flexible learning models. Here’s why professionals and organisations choose Edoxi
Edoxi maintains official Microsoft Learning Partner status, providing direct access to the latest Azure data engineering curriculum and certification pathways.
Our instructors hold active Microsoft certifications and have implemented enterprise-scale Azure data solutions across major UAE industries and organisations.
We have successfully delivered customised Azure data engineering training to technical teams from leading financial institutions and government entities.
Limited batch sizes and low student-to-trainer ratios ensure individual attention, addressing each participant's specific learning challenges.
The DP-203 course integrates with our broader Azure certification offerings, enabling professionals to build end-to-end cloud data engineering capabilities.
Edoxi has a strong presence across the GCC—including UAE and Saudi Arabia—and is expanding into European markets, delivering consistent and high-quality training globally.
Our mentors are leaders and experts in their fields. They can challenge and guide you on your road to success!
Manish Rajpal
Manish is a passionate Corporate Trainer, AI Consultant, and Cloud Solutions Architect. He empowers clients across the globe to build and maintain highly available, resilient, scalable, and secure solutions, now with a growing emphasis on AI-powered architectures. With over 15,000 professionals trained, Manish specialises in technologies including Amazon Web Services, Microsoft Azure, Microsoft Copilot and GitHub Copilot and increasingly, AI and Machine Learning.
Manish has led research and workshops focused on integrating AI into cloud environments, exploring use cases like intelligent automation, natural language processing, and responsible AI practices.
Here are the major international locations where Edoxi offers DP-203 Data Engineering on Microsoft Azure Course
