Every Thursday from 6-8pm for 9 Weeks - Starting on July 11th @ T-REX Holekamp Classroom (5th Floor)

Course Description:

This 9-week comprehensive course is designed to prepare participants for Apache Airflow certifications, focusing on the Astronomer Airflow 101 and DAG Authoring certifications. Ideal for data engineers, data scientists and IT professionals, this course offers a robust curriculum combining theoretical knowledge with practical application, ensuring a thorough understanding of Apache Airflow.

What is Apache Airflow?

Apache Airflow is an open-source platform used to programmatically author, schedule, and monitor workflows. It allows users to define workflows as Directed Acyclic Graphs (DAGs) of tasks, providing powerful tools to manage and automate data pipelines. Airflow is widely used for ETL processes, business operations, infrastructure management, and MLOps, offering a scalable and flexible solution for complex workflows.

Requirements:

• Proficiency in Python

• Comfort with Command Line Interface (CLI)

• Laptop

• Docker