Airflow Course
Master Apache Airflow by building reliable ETL pipelines end to end. Learn local and Docker setup, HTTP data extraction, Pandas-based transforms, database loads, monitoring, alerts, and production-ready best practices for modern data engineering.

flexible workload from 4 to 360h
valid certificate in your country
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 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 duration?
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