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Introduction to Apache Airflow in Python
4.8(2,003)
Intermediate 4 hours English Completion Certificate
About this course
Introduction to Apache Airflow in Python teaches workflow orchestration: building DAGs (Directed Acyclic Graphs), scheduling and automating data pipelines, monitoring and debugging runs, and — in the final chapter — combining triggers, branching logic, and human-approval gates into a complete production-style pipeline. It's kept current, explicitly updated to Apache Airflow 3.1.6.
The honest take: at 2,003 reviews and 4.8 stars, this is a strong, well-tested course, and the real prerequisites (intermediate Python, shell basics) mean it correctly assumes you can already write functions and use a command line — this replaces ad-hoc cron jobs with something genuinely production-grade, not a toy demo.
What you'll learn
Build and run DAGs (Directed Acyclic Graphs) in Airflow
Schedule and automate data pipelines
Use sensors, executors, and XCom for task communication
Monitor, debug, and troubleshoot Airflow workflows
Apply Jinja templating and Airflow variables
Build a complete production pipeline with branching and human approval
This course includes
4h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
Comparison · LBS
Compare alternatives for Introduction to Apache Airflow in Python
Same topic, different options. We surface the trade-offs others hide so you can pick the course that actually fits your time, budget, and goals.
Comfort writing Python functions and basic command-line familiarity — the course touches Bash, Python operators, and tools like PostgreSQL and Celery.
Requires a DataCamp subscription, from $25/mo, with a free trial available.
About 4 hours across four chapters.
A Directed Acyclic Graph — a map of tasks and their dependencies. Airflow uses DAGs to control execution order and make pipelines auditable.
An operator defines what a task does; a sensor waits for a condition before proceeding; an executor is the system that actually runs tasks (e.g. LocalExecutor, CeleryExecutor).