Apache Airflow Training

14 March, 2024Virtual

2 days
Data and AI
Data Engineering

Have you ever scheduled a chain of cron jobs only to discover down the line that data was missing? Apache Airflow eliminates that problem. This training will teach you to author, schedule, and monitor workflows through hands-on experience with this leading open-source platform. In addition to gaining a solid understanding of Airflow’s core concepts, you will learn how to make wise architectural decisions and design better data pipelines. 

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2 days


09:00 – 17:00









What will you learn?

After the training, you’ll be able to

Use basic Airflow concepts, such as DAGs, Operators, and Hooks. 

Design and create task workflows using Airflow DAGs. 

Schedule Airflow DAGs and employ concepts like backfilling and catchup. 

Use Airflow Operators to execute predefined tasks which integrate with many different systems. 

Use the Airflow UI to get insights into the status of your workflows. 

Key takeaways

  1. The essential components of Apache Airflow 
  2. Running and managing workflows 
  3. Creating dynamic workflows with Jinja templating 
  4. Sharing state between tasks with XComs 


  • Introduction to the Apache Airflow user interface. 
  • How to create and monitor DAGs. 
  • The basics of using the most critical operators. 
  • Creating dynamic workflows with Jinja templating.

Who is it for?

This training is perfect for Data Scientists and Data Engineers seeking to bring their workflows to production using Apache Airflow. If you are eager to learn best practices for monitoring, controlling, and running your data pipelines in a user-friendly way, this course offers the ideal pathway.


Basic knowledge of workflow management and data pipelines is required.

We recommend you have at least one year of experience working with Python in the Data Engineering field. 

Why should I
follow this training?

Get a solid understanding of Apache Airflow’s core concepts and practical hands-on experience.

Learn how to author, schedule, and monitor workflows.

Learn how best to design data pipelines for real-life use cases. 

What else
should I know?

After registering for this training, you will receive a confirmation email with practical information. A week before the training, we will ask you about any dietary requirements and share literature if you need to prepare.

See you soon!

All literature and course materials are included in the price. 

After registering for this course, you will receive a confirmation email with practical information. 

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