Apache Airflow Fundamentals: Free Level 3 Course

Build a clear introduction to workflow orchestration with this free online course from Oxford Home Study Centre. You will learn what Apache Airflow is used for, how its core components work together and how Directed Acyclic Graphs (DAGs) organise tasks within a data pipeline.

This Level 3 course is delivered online, is open to all and has an estimated duration of 200 hours. You can compare subjects in our complete online course catalogue, explore the wider artificial intelligence course range, or browse more free AI courses online.

Start with Apache Airflow and Data Pipeline Basics

Modern data work often depends on repeatable processes: one task may need to finish before another starts, jobs may run on a schedule, and failures need to be visible. Apache Airflow is designed to help organise these workflows. This course concentrates on the foundations so you can understand the structure of an Airflow workflow before moving into more advanced deployment, scaling and integration topics.

The emphasis is introductory rather than production-level. You will examine Airflow architecture, key concepts such as tasks, operators and schedulers, and the role of DAGs in defining dependencies. If you later want a broader programme covering data-source integration, advanced Airflow features, performance, cloud deployment and an end-to-end project, compare our advanced data pipeline engineering course.

Who Is This Free Airflow Course For?

This course is suitable for learners who want a structured first step into workflow orchestration and data pipelines. It may be useful for students, data or IT learners, analysts, developers and professionals who need to understand how scheduled data workflows are organised.

No formal entry requirements are listed for this course. Because the subject is technical, prior familiarity with basic data concepts can make the terminology easier to follow, but the programme begins with Airflow fundamentals.

Related Learning Options

If you want to strengthen your understanding of the data that pipelines move and process, our free data analysis course introduces data structures, collection and exploration. You can also study data collection and data cleaning to understand how data quality affects later analytical and automated workflows.

For deeper Airflow study, the data pipeline engineering and workflow automation programme progresses beyond the three foundation modules into integrations, advanced Airflow features, scaling, cloud deployment and a capstone project.

Frequently Asked Questions

Is this course really free to study?

Yes. There is no course fee to enrol, access the learning materials or complete the programme. Optional certificates are purchased separately after successful completion.

Do I need previous Apache Airflow experience?

No. The course starts with an introduction to Airflow and its core architecture. The live course information lists the entry requirements as open to all.

What is the difference between this course and the paid data pipeline programme?

This is a Level 3, 200-hour introduction with three modules. The paid programme is a separate 450-hour course with eight modules, adding data-source integration, advanced Airflow features, scaling, cloud deployment and a capstone project.

Will I learn how DAGs work?

Yes. DAGs are introduced as the structure used to represent workflow tasks and dependencies, and the third module focuses specifically on designing data pipelines with DAGs.

Is certification included automatically?

No. Free study and course completion do not automatically include a certificate. After successful completion, you may choose to purchase one of the available certification options.

What You Will Learn

Explain the purpose of data pipelines and workflow orchestration.
Recognise the main components used in Apache Airflow.
Understand how DAGs represent task order and dependencies.
Describe how tasks, operators and schedulers contribute to workflow execution.
Understand where monitoring and dependency management fit within automated data workflows.
Build a foundation for further study in data engineering, automation and pipeline design.

Free Study and Optional Certification

You can enrol on Data Pipeline Design with Airflow, access the online learning materials and complete the course without paying a course fee. Certification is optional, separate from free study and available after successful completion.

You may choose to purchase:

QLS-endorsed Certificate of Achievement
CPD-accredited certificate issued by the CPD Standards Office as a record of continuing professional development

You may order either certificate individually or purchase both for the same completed course. Buying one does not require you to buy the other.

Each certificate has its own price, and the total payable may vary according to the certificates selected, course level, format and delivery option. See our current certificate options and prices.

Certification remains entirely optional and is not required to access the learning materials or complete the course.

Course Content

Topics Covered in the Course

Course Content

Module 1: Introduction to Apache Airflow

Begin with the purpose of Apache Airflow and its role in organising repeatable data workflows. The module introduces workflow orchestration and explains why scheduled, dependency-aware processes are useful in data engineering.

Module 2: Core Concepts and Architecture of Apache Airflow

Explore the main parts of an Airflow environment, including DAGs, tasks, operators and schedulers. You will see how these components relate to one another and how Airflow represents and manages a workflow.

Module 3: Designing Data Pipelines with DAGs

Focus on the logic behind DAG-based pipeline design. You will learn how task dependencies can be structured so that a workflow follows a defined sequence rather than running as an uncoordinated set of jobs.

How It Works

Build your knowledge through clear and accessible online learning.

Complete the assignments and achieve the required marks.

Choose an optional certificate after completing the course.

Why Choose a Certificate?

An optional certificate provides a clear record of successful course completion. Add it to your learning portfolio and share it where relevant.

Completing the course and its assessments shows your commitment to developing subject knowledge through focused, independent learning.

Use your new knowledge to support further study, workplace development or personal goals. A certificate records completion but does not guarantee employment or professional status.