Airflow Course
This course equips you to master Apache Airflow through building complete, reliable ETL pipelines. Cover local and Docker installations, pulling data from HTTP sources, transforming with Pandas, loading into databases, monitoring tasks, setting up alerts, and following production best practices for effective data engineering in modern setups.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain hands-on skills to install, set up, and operate Apache Airflow on your local machine, then create dependable ETL pipelines from the ground up. Handle HTTP data sources, Python and Pandas processing, local databases, and Docker Compose setups. Master designing strong DAGs, managing errors, securing links, tracking executions, configuring alerts, and using top practices for quick production workflows.
Elevify advantages
Develop skills
- Design and build robust ETL DAGs in Airflow that are parameterized and production-ready.
- Schedule, monitor, and fix issues in data workflows using Airflow on local setups.
- Pull and process data reliably with HTTP requests, Python scripts, and Pandas tools.
- Load data into local databases with validation, idempotent operations, and schema checks.
- Implement monitoring, security features like RBAC, logging, and alerts for reliable Airflow use.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
FAQs
Who is Elevify? How does it work?
Do the courses have certificates?
Are the courses free?
What is the course workload?
What are the courses like?
How do the courses work?
What is the duration of the courses?
What is the cost or price of the courses?
What is an EAD or online course and how does it work?
PDF Course