Apache Airflow Training Course


21 hours (usually 3 days including breaks)


  • Experience with machine learning, devops, or data engineering.


  • Data scientists
  • DevOps or infrastructure engineers
  • Software developers


Apache Airflow is a platform for authoring, scheduling and monitoring workflows.

This instructor-led, live training (online or onsite) is aimed at data scientists who wish to use Apache Airflow to build and manage end-to-end data pipelines.

By the end of this training, participants will be able to:

  • Install and configure Apache Airflow.
  • Author, schedule and monitor complex data pipelines
  • Manage many ETLs (Extract, extract, Transform, Load).
  • Scale and secure Apache Airflow.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.

Course Outline


Overview of Apache Airflow Features and Architecture

Setting up Apache Airflow

Navigating the Apache Airflow UI

Using the CLI

Reading Big Data Sets

Working with DAGs

Monitoring Apache Airflow

Customizing Apache Airflow

Securing Apache Airflow

Scaling Apache Airflow

Best Practices


Summary and Conclusion

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