Airflow Course
Master Apache Airflow to build, orchestrate, and monitor production-ready ETL pipelines using local setups, HTTP sources, Python transformations, and Docker.

4 to 360 hours of flexible workload
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What Will I Learn?
This Airflow Course teaches you how to install, configure, and run Apache Airflow locally, then build reliable ETL pipelines from scratch. You will work with HTTP data sources, Python and Pandas transformations, local databases, and Docker Compose. Learn to design robust DAGs, handle errors, secure connections, monitor runs, set alerts, and apply best practices to reach production-ready workflows fast.
Elevify Advantages
Develop Skills
- Build Airflow ETL DAGs: design robust, parameterized, production-ready pipelines fast.
- Orchestrate data workflows: schedule, monitor, and troubleshoot Airflow tasks locally.
- Extract and transform data: use HTTP, Python, and Pandas for clean, reliable datasets.
- Load and validate data: write to local DBs, ensure idempotent writes and schema checks.
- Monitor and secure Airflow: apply logging, alerts, RBAC, and reliability best practices.
Suggested Summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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