What you'll 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.
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.
