Astronomer Academy

Get Certified in Apache Airflow 3

Airflow runs the pipelines behind analytics, ML, and now AI agents at companies of every size. An Astronomer certification shows you know how to build and run those pipelines well. Choose the exam that fits where you are and get started.

Apache Airflow 3 Fundamentals and DAG Authoring certification badges

Why get certified?

Apache Airflow® is the industry standard for data orchestration, frequently seeing more than 30 million downloads per month. Nearly every data engineering role will require you to be proficient in writing and running pipelines with Airflow. A certification is a great way to prove you are.

Join more than 16,000 data professionals who have earned an Airflow certification from Astronomer, the company that employs many of Airflow's core maintainers and drives much of the project's development.

  • Show your work to recruiters.

    You earn a digital badge you can add to LinkedIn, your resume, and your email signature.

  • Prove you understand Airflow.

    The exams test your grasp of Airflow's concepts and your ability to design reliable pipelines following best practices.

  • Stay current with Airflow 3.

    The exams are built on Airflow 3, so preparing teaches you the biggest release in the project's history: assets, Dag versioning, and the new architecture.

Choose your path.

Astronomer offers three certifications. Start with Fundamentals if you are newer to Airflow, and move to DAG Authoring once you are writing pipelines day to day. Building with AI? AI Orchestration Fundamentals proves you can design, run, and evaluate AI workflows in Apache Airflow.

Level 1

Apache Airflow 3 Fundamentals

Checks that you understand basic Airflow concepts and can build, schedule, and monitor basic pipelines.

Best for 3+ months of hands-on Airflow experience

  • The Airflow UI
  • The Airflow CLI
  • Airflow use cases
  • Writing, scheduling & debugging Dags
  • Dag dependencies
  • Dag runs
  • Airflow architecture components
  • Basic operators (e.g. PythonOperator)
  • Basics of XCom, Connections, Variables & Sensors
New

AI Orchestration Fundamentals

Prove you can design, run, and evaluate AI workflows in Apache Airflow, from bounded LLM tasks to safely tooled agents with humans in the loop.

Recommended: working knowledge of Apache Airflow (Dags, tasks, retries, scheduling)

  • AI orchestration concepts: prompt, chatbot, assistant, workflow, and agent
  • Airflow as the orchestration layer for AI workflows
  • Good and bad fits for AI in data pipelines
  • Designing AI-aware Dags: task boundaries, XCom contracts, branching on AI output
  • Retries, timeouts, capacity controls, and durable execution for AI tasks
  • Single-turn LLM tasks with @task.llm: connections, model choice, system prompts, structured outputs with output_type, model settings
  • Agent tasks with @task.agent: when an agent is justified, toolsets, tool logging
  • Data access safety: SQLToolset, HookToolset, MCPToolset, and Agent Skills
  • Evaluation: LLM-as-a-judge, branching on verdicts, and the human-in-the-loop operators

Exam Details

Format
75

multiple-choice questions

Duration
60

minutes to complete

Passing Score
70%

53 of 75 correct for Airflow 3 exams. 80% (60 of 75) for AI Orchestration Fundamentals.

Cost
$150

USD per exam

Language
EN

English

Timing
30

days to take it once you enroll

Ready to Start?

Prep courses and all three exams live on the Astronomer Academy. Create an account, work through the free prep course, and take the exam when you are ready.

Get Certified