Orchestrating Python Workflows in Apache Airflow

This course teaches learners how to orchestrate Python workflows in Apache Airflow. The learning outcomes include understanding how to automate complex code, integrate with various data sources, create custom Operators in Airflow, and gain insights into the strengths and weaknesses of the technology. The course aims to equip participants with the skills to efficiently run data pipelines using Apache Airflow. The teaching method involves a presentation style with insights from 5 years of production experience. The intended audience for this course includes Python developers, data engineers, and anyone interested in workflow orchestration and automation.