You should have a working knowledge of SQL (joins, aggregations, subqueries), basic Python programming skills, and a general understanding of cloud computing concepts. No prior Azure experience is required, as the program covers Azure services from the ground up.

The curriculum covers the full Azure data engineering stack, including Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage Gen2, Delta Lake, Azure Event Hubs, Azure Stream Analytics, Azure Purview, Azure Key Vault, Power BI, and infrastructure-as-code tools like Terraform and Azure DevOps. You'll learn data ingestion, batch and streaming processing, lakehouse and warehouse architectures, data governance, security, and pipeline optimization.

Over the 24-week duration, plan to spend approximately 12-15 hours per week, which includes live classes, self-paced labs, hands-on projects, and exam preparation. The schedule is designed for working professionals, with live sessions typically held on evenings or weekends.

You'll complete three major industry-relevant projects: a retail sales lakehouse analytics pipeline using Data Factory, Databricks, and Delta Lake; a real-time IoT fleet monitoring system with streaming analytics; and a governed financial transaction data warehouse with security, lineage tracking, and CI/CD deployment. These projects simulate real-world data engineering challenges.

This program prepares you for the Microsoft Azure Data Engineer Associate certification (DP-203) and equips you with production-level skills in building data pipelines, lakehouse architectures, and streaming solutions on Azure. Graduates are well-positioned for roles such as Data Engineer, Big Data Engineer, Cloud Data Architect, and Business Intelligence Developer at organizations adopting Azure.

You'll gain hands-on experience with Python, SQL, Azure Data Factory, Azure Databricks, Apache Spark, Azure Synapse Analytics, Azure Data Lake Storage Gen2, Delta Lake, Azure Event Hubs, Azure Stream Analytics, Azure Purview, Azure Key Vault, Power BI, Azure DevOps, Terraform, and Azure Monitor. All tools are used within the context of real projects and labs.

The Micro Degree course is an online LIVE course, where LIVE sessions will be conducted online on our Classroom platform. Prior to the start of the course, you'll receive preparatory material in the form of recorded content which can be access on the same platform.

In this course instructors will use English language for teaching.

Upon successful registration, you will receive a confirmation email on your registered email ID. In this email you will receive login details for your newly created account on the Edyoda Classroom platform (https://classroom.edyoda.com). Additionally, you will receive a PDF guide containing step-by-step instructions on how to utilize the platform to access live sessions and learning materials.

Our instructors are the industry experts with a minimum working experience of 10 years with a strong technical and teaching background. They bring industry knowledge and practical expertise to the course.

Yes, the course includes online assignments, quizzes, and a final project to reinforce your learning and assess your proficiency in Microsoft Azure Data Engineer Certification CareerTrack.

Yes, you can interact with instructors and fellow students through discussion forums, live Q&A sessions. We encourage a supportive learning community.

We offer a 100% money-back guarantee to ensure your complete satisfaction. If you're not satisfied, you can request a full refund within 3 days of purchase or before the second session, whichever comes earlier. Simply contact our support team(support@edyoda.com) with your purchase details, such as the order ID or email address, and share your reason for the refund. Requests made after 3 days or after the second session will not be eligible for a refund. There are no hidden charges, you will receive the full amount paid. Refunds are processed within 7–10 business days and credited back to your original payment method.