Apache Airflow 3 - The Complete Bootcamp [With Projects]

Apache Airflow 3 – The Complete Bootcamp [With Projects] | Udemy [Update 05/2026]
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Genre: eLearning

What you’ll learn:
Understand Airflow Architecture and core components – DAG Processor, Metadata DB, Scheduler, Executor, Webserver, Workers, and how they interact
You’ll also build 2 end-to-end projects including AWS S3, Spark, Databricks, AWS Glue, APIs, etc. to solidify your learning and gain strong hands-on
Build industry-grade DAGs using modern TaskFlow API for complex dependencies, branching & subDAGs
Learn XCOMs and kwargs for inter-task communication and passing data between tasks in the DAGs
Master Operators and Hooks to interact with external systems like databases, APIs & cloud service
Schedule DAGs with Cron, Delta Triggers, and Event-based triggers covering real-world use cases
Monitor & troubleshoot DAGs using the Airflow UI, logs, and metrics to ensure reliability
Create connections in Airflow to securely store credentials for external systems
Implement Incremental Data Loading & Backfilling of DAGs to manage historical data
Implement error handling and retry mechanisms to ensure robust and fault-tolerant workflows
Develop Airflow Assets to build data aware pipelines and manage data dependencies effectively
Scale Airflow with multiple workers and queues to distribute workload and optimize performance

This is a COMPLETE Apache Airflow 3 Bootcamp you need in 2026 to become a PRO Apache Airflow Developer.

Whether you’re a beginner or a working professional looking to upskill, this course will guide step by step with a hands-on, practical, and engaging lectures (doodle illustrations).

GAIN STRONG HANDS-ON WITH:

Airflow Fundamentals & Architecture – Learn the fundamentals of Airflow and understand how DAG Processor, Metadata DB, Scheduler, Executor, Webserver, Workers work together to orchestrate data pipelines.

DAG Authoring – Master the modern TaskFlow API to build complex DAGs with dependencies, branching, and subDAGs for real-world data workflows. Learn XCOMs and kwargs for inter-task communication and passing data between tasks in the DAGs.

Operators & Hooks – Learn how to use built-in Operators and Hooks to interact with external systems like databases, APIs, and cloud services. Build custom connectors to integrate with any system.

Scheduling & Triggers – Schedule your DAGs using Cron, Delta Triggers, Event-based triggers, and specific time intervals to cover a wide range of real-world use cases.

Incremental Load & Backfilling – Implement incremental load strategies and backfill historical data to ensure your pipelines can handle both new and existing data effectively.

Monitoring & Troubleshooting – Use the Airflow UI, logs, and metrics to monitor your DAGs, identify issues, and troubleshoot errors to ensure reliable pipeline execution.

Security & Retries – Create connections in Airflow to securely store credentials for external systems. Implement error handling and retry mechanisms to ensure robust and fault-tolerant workflows.

Airflow Assets & Scaling – Develop Airflow Assets to build data aware pipelines and manage data dependencies effectively. Scale Airflow with multiple workers and queues to distribute workload and optimize performance.

End-to-End Projects – Additionally, build 2 real-world projects integrating AWS S3, Spark, Databricks, AWS Glue, APIs, and more to make your learning practical with real-world applications of Airflow.

WHAT MAKES THIS COURSE UNIQUE?

Super Engaging Lectures – No boring theory here! I explain every concept in a clear and beginner-friendly way using real-life examples and doodle visuals.

Deep Dive into Every Topic – I don’t just scratch the surface. You’ll understand the “why” and “how” behind every feature.

Strong Hands-On Focus – You learn by doing. Each chapter includes so many practical labs to solidify your understanding and build real-world skills.

DISCLAIMER – This course is independently created and not affiliated with or endorsed by Airflow. All content is original, designed for educational purposes only. It is based on public documentation, real-world scenarios, and personal experience. All trademarks belong to their respective owners. For the most accurate and updated information, refer to the official Airflow documentation.

Who this course is for:
Anyone who wants to learn Apache Airflow and become an Airflow Developer

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