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Airflow Course

Airflow Course
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

Gain expertise in installing, configuring, and operating Apache Airflow on local setups and Docker. Master building dependable ETL pipelines using HTTP sources, Python and Pandas for data processing, local databases, and Docker Compose. Develop skills in creating strong DAGs, error management, secure connections, monitoring, alerting, and production-grade best practices for efficient workflows.

Elevify advantages

Develop skills

  • Design and build robust, parameterised ETL DAGs in Airflow for production use.
  • Schedule, monitor, and debug data workflows effectively with Airflow tools.
  • Extract and transform data reliably using HTTP APIs, Python, and Pandas libraries.
  • Load data into databases with validation, idempotency, and schema verification.
  • Implement monitoring, logging, security via RBAC, alerts, and 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.
Workload: between 4 and 360 hours

What our students say

I was just promoted to Intelligence Advisor of the Prison System, and the course from Elevify was crucial for me to be chosen.
EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company I work for.
SilviaNurse
Very great course. Lots of rich information.
WiltonCivil Firefighter

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