Beginner
Build fluency with the core ideas and everyday building blocks.
DAGs and tasks
Represent workflows as directed task graphs.
Scheduling
Understand intervals and scheduled execution.
DATA / ENGINEERING LEARNING PATH
Orchestrate dependable workflows with explicit dependencies, retries, and monitoring.
Apache Airflow is a workflow orchestration platform. Learn how workflows are represented, scheduled, monitored, and recovered with safe task behavior.
Explore Apache Airflow through beginner, intermediate, and advanced learning levels. Topic status is illustrative demo progress only.
Build fluency with the core ideas and everyday building blocks.
Represent workflows as directed task graphs.
Understand intervals and scheduled execution.
Combine concepts into reliable, useful workflows.
Connect tasks and select appropriate operations.
Manage runtime configuration and service connections.
Reason about scale, trade-offs, security, and optimization.
Make task retries safe and predictable.
Operate historical runs and monitor execution.
Status labels are sample progress and are not linked to a user account.
Try focused learning activities that reinforce the Apache Airflow concepts you have just explored.
Use a project to connect technical concepts to a practical problem and its constraints.
Demo project outline · Apache Airflow learning application
Explore projectsDemo project outline · Apache Airflow learning application
Explore projectsReview your understanding and practice explaining your choices in a clear, structured way.
Recover a partial pipeline run
Prevent overlapping jobs
Backfill a bounded time range
A real learner dashboard could track progress by topic and stage when user accounts are introduced.
Demo Progress · not user data