Airflow

Lesson in the MLOps Roadmap · Stage 10: Orchestration & Deployment

Last updated 14 September 2026

What is Airflow?

Airflow is a platform used to programmatically author, schedule, and monitor workflows. It allows you to define workflows as Directed Acyclic Graphs (DAGs) of tasks, where each task represents a unit of work. Airflow then executes these tasks in the specified order, handling dependencies, retries, and logging along the way.

Study this in the interactive course See the whole MLOps roadmap

Free resources to learn Airflow

Official docsAirflow
Official docsAirflow Docs
Open sourceairflow
ArticleBuilding Pipelines In Apache Airflow – For Beginners
VideoWhat is Apache Airflow? For beginners
VideoApache Airflow Tutorial for Data Engineers
FeedExplore top posts about Apache Airflow

Airflow: common questions

Can I learn Airflow in Hindi?

This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Airflow in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.

Is this Airflow tutorial for beginners?

It is lesson 41 of 62 in the free MLOps roadmap, in stage 10, Orchestration & Deployment. If you are new to MLOps, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.