This comprehensive course empowers learners to construct, implement, monitor, and optimize data pipelines using Microsoft Azure Data Factory (ADF). Structured into four progressive modules, the course starts with foundational setup and connectivity, advancing to robust pipeline design, scheduling, debugging, and performance optimization using Azure Data Lake integration.

Learners will configure source and destination datasets, execute copy activities, and deploy end-to-end workflows with precision. Through practical exercises, graded quizzes, and scenario-based tasks, learners will also diagnose failures, analyze pipeline behavior, and evaluate dataset and trigger configurations. By the end of the course, participants will be proficient in building dynamic, scalable, and production-ready data integration solutions using ADF. Designed for data professionals, engineers, and cloud practitioners, this course bridges theory with cloud-based implementation—helping learners transition from foundational concepts to enterprise-grade automation.