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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

Your classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... I appreciate everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the supplementary videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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