Getting started with Astro (Managed Apache Airflow)

From your local environment to running DAGs on production-ready Astro deployments

What you’ll learn
Understand the Astro platform
Set up your local development environment
Build and run your first DAG on Astro
Deploy DAGs to Astro
Monitor DAGs and Task metrics and setup alerts

Requirements
A prior basic knowledge of Airflow

Description
Ready to run Apache Airflow without the infrastructure headaches? Astro by Astronomer is the modern way to build, test, and deploy data pipelines—and this course will get you up and running fast.In this hands-on course, you’ll go from zero to deploying your first DAGs on Astro Cloud. You’ll learn how to set up your local development environment with the Astro CLI, build and test DAGs using the Astro IDE, and explore multiple deployment strategies to fit your team’s workflow. We’ll also cover essential platform features like metrics, alerting, and even coding with Astro AI.What you’ll learn:Understand what Astro is and why it’s transforming how teams manage AirflowInstall the Astro CLI and run Airflow locally in minutesBuild, test, and debug DAGs using the Astro IDEWork with connections, variables, and environment managementDeploy your projects using project deploy, DAG-only, image-only, and Git-based workflowsMonitor your pipelines with built-in metrics and alertingWho this course is for: Data engineers, analytics engineers, and developers who want a faster, simpler way to manage Apache Airflow pipelines in the cloud.No prior Astronomer experience required—just bring some basic Python knowledge and you’re good to go.Enjoy the course! Marc Lamberti

Who this course is for
Data engineers
Analytics Engineers
Anyone who wants to run Airflow in the cloud with Astro

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