Data Engineering Workflow Orchestration with Airflow
Completed by Rawah Hassan Mohammed
May 1, 2026
9 hours (approximately)
Rawah Hassan Mohammed's account is verified. Coursera certifies their successful completion of Data Engineering Workflow Orchestration with Airflow
What you will learn
Design and build ETL/ELT pipelines using Apache Airflow.
Develop, schedule, and manage DAGs with operators, sensors, and TaskFlow API.
Monitor, debug, and implement reliability best practices in workflows.
Deploy, optimize production-grade Airflow pipelines with CI/CD practices.
Skills you will gain
- Category: Production Management
- Category: Data Engineering
- Category: Data Quality
- Category: Python Programming
- Category: Continuous Deployment
- Category: Workflow Management
- Category: PostgreSQL
- Category: Web Servers
- Category: Model Deployment
- Category: Linux Commands
- Category: CI/CD
- Category: Data Pipelines
