Apache Airflow Course
This comprehensive course equips you with hands-on skills to master Apache Airflow, focusing on designing robust real-world DAGs, building efficient data warehouse pipelines, utilising sensors effectively, and applying top best practices for reliability, security, and continuous monitoring. You will construct production-grade workflows that securely transfer data from diverse sources into analytics-ready tables, ensuring seamless and dependable operations across enterprise environments.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain expertise in crafting dependable DAGs, selecting optimal executors and deployment strategies, and securely linking data warehouses, databases, storage solutions, and APIs. Master creating reusable operators, hooks, sensors, and task groups, while implementing idempotent data loads, observability, testing protocols, and configuring monitoring, SLAs, and alerts to ensure your data pipelines operate reliably and are straightforward to manage in live production settings.
Elevify advantages
Develop skills
- Design robust production-grade DAGs with effective retries, dependencies, and scheduling.
- Orchestrate data from varied sources like Postgres, S3/GCS, and REST APIs into warehouses.
- Implement secure and scalable Airflow setups using executors, RBAC, secrets, and HA patterns.
- Build dependable ETL processes with staging, idempotent loads, and service level agreements.
- Monitor pipelines live with logs, metrics, alerts, and comprehensive data quality checks.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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