Build a strong career in Data Engineering with Microsoft Azure Azure Data Factory (ADF)—one of the most powerful cloud-based ETL and data integration services used by modern enterprises.

This complete course is designed for students, working professionals, data analysts, SQL developers, ETL developers, and aspiring data engineers who want to master Azure Data Factory from beginner to advanced level.

Starting from cloud computing fundamentals and Azure basics, this course takes you step-by-step through ADF architecture, linked services, datasets, pipelines, copy activity, control flow, mapping data flows, triggers, monitoring, security, CI/CD deployment, REST API integrations, and real-time industry projects.

You will gain hands-on practical experience by building real-world data pipelines, automating ETL workflows, handling cloud and on-premises integrations, implementing incremental loads, and deploying enterprise-grade solutions used in production environments.

This course also includes interview preparation, scenario-based problem solving, certification guidance, and career roadmap support to help you become job-ready for Azure Data Engineering roles.

By the end of this course, you will be able to confidently design, build, monitor, optimize, and deploy complete data integration solutions using Azure Data Factory in real-world enterprise environments.

What You Will Learn
Complete understanding of Azure Data Factory architecture
Building ETL and ELT pipelines using ADF
Working with Azure SQL, Blob Storage, ADLS, and Synapse
Creating Linked Services, Datasets, and Pipelines
Mastering Copy Activity and Control Flow Activities
Advanced Mapping Data Flows and Transformations
Dynamic Pipelines using Parameters and Variables
Scheduling and Trigger Management
Monitoring, Debugging, and Performance Optimization
Security, Managed Identity, and Key Vault Integration
Git Integration, CI/CD, and ARM Template Deployment
REST API Integration and Advanced Automation
Real-Time Industry Projects for Hands-on Experience
ADF Interview Preparation and Career Guidance
Who Should Enroll
Freshers preparing for Data Engineering careers
SQL Developers and ETL Developers
Data Analysts and BI Professionals
Azure Beginners
Working Professionals transitioning to Cloud Data Engineering
Students preparing for Azure certifications
Professionals targeting high-paying Data Engineer roles