Mastering data orchestration in modern enterprise environments requires seamless integration between your workflow orchestrator and external systems. Apache Airflow 3 brings updated execution paradigms, improved Task SDKs, and powerful provider ecosystems designed to streamline cross-system data pipelines. This practical, hands-on course teaches you how to connect, orchestrate, and maintain production-ready integrations between Apache Airflow 3 and cloud providers, databases, storage layers, and third-party APIs.
Who this course is for:
- Data Engineers looking to master Apache Airflow 3 integration patterns
- Backend Developers building automated data workflows across multi-cloud systems
- DevOps and Cloud Engineers managing pipeline secrets, hooks, and external triggers
- Software Architects designing scalable data orchestration pipelines
What you will learn:
- Build custom Hooks and Operators for any external database or API
- Securely authenticate Airflow 3 with AWS, Azure, GCP, and databases
- Orchestrate event-driven pipelines using Airflow 3 sensors and triggers
- Optimize resource efficiency using asynchronous deferrable operators
- Implement robust retry mechanisms, callbacks, and error handling
- Manage connection credentials safely with external secrets engines
- Build end-to-end multi-cloud integration workflows from scratch







