Azure Data Factory for Data Engineers is a hands-on course designed to teach you how to build, orchestrate, and optimize cloud-based ETL pipelines using Azure Data Factory. Created for aspiring and working data engineers, this course provides a practical, end-to-end introduction to cloud data integration on Microsoft Azure.
 
You’ll learn how to design data ingestion workflows, transform datasets at scale, and automate pipeline execution using Azure’s powerful integration services. The course walks you through key components such as linked services, datasets, activities, data flows, triggers, and monitoring tools.
Through guided, real-world projects, you’ll gain the skills to build production-ready pipelines, connect multiple data sources, manage data movement, implement error handling, and ensure reliability and scalability in cloud environments.
By the end of this course, you’ll have a strong foundation in Azure Data Factory and the confidence to develop ETL pipelines used in modern data engineering workloads.
 
What You’ll Learn
Core concepts of Azure Data Factory and cloud-based data integration
Building ETL pipelines from ingestion to transformation
Working with linked services, datasets, and mapping data flows
Orchestrating workflows with triggers and pipeline automation
Monitoring, debugging, and optimizing data pipelines
Designing scalable cloud architectures for enterprise data engineering