Udemy – Apache Airflow Masterclass: Build Real-World Projects

Apache Airflow is one of the most in-demand tools in modern data engineering, analytics engineering, and backend data platforms. This course is a complete, production-focused Apache Airflow masterclass, designed to take you from absolute beginner to confident, real-world Airflow user. This is not a short tutorial or a surface-level walkthrough. You will first learn Apache Airflow A-to-Z, understanding how it actually works under the hood, and then you will apply that knowledge by building a full end-to-end data engineering project using real-world data workflows.

Part 1: Apache Airflow Full Course (Beginner to Advanced)

In the first part of the course, we start from scratch and gradually move to advanced and production-ready concepts. Each lecture is clearly structured and mapped to real-world usage.

You will learn:

• What Apache Airflow is, why it is used, and when it should or should not be used
• Core building blocks: DAGs, Tasks, Operators, Hooks, Sensors, and XCom
• Complete Airflow architecture explained visually, including Scheduler, Webserver, Executor, Workers, and Metadata Database
• Different Airflow executors (Local, Celery, Kubernetes) and how to choose the right one
• Installing and running Apache Airflow using Docker and local setups
• Navigating and using the Airflow UI effectively
• Writing DAGs using the modern TaskFlow API
• Deep dive into operators with real demos (Python, Bash, Cloud, and Sensors)
• Variables, Connections, Secrets, and configuration best practices
• XCom internals, common mistakes, and anti-patterns
• Scheduling concepts including cron syntax, timetables, catchup, and backfill
• Task Groups and Dynamic Task Mapping with hands-on examples
• Error handling, retries, logging, monitoring, and production best practices

By the end of this section, you will understand Airflow like a working data engineer, not just someone copying DAG examples.

Part 2: End-to-End Real-World Data Engineering Project

In the second part of the course, we build a complete, real-world data engineering project using Apache Airflow.

You will build an automated pipeline that:

• Pulls live flight operations data from external APIs
• Implements Medallion Architecture:
  • Bronze layer for raw ingestion
  • Silver layer for cleaned and normalized data
  • Gold layer for analytics-ready KPIs
• Processes data in time-windowed, incremental batches
• Loads analytics data into a cloud data warehouse
• Handles retries, failures, dependencies, and reruns safely
• Produces analytics-ready datasets suitable for dashboards

This project focuses on patterns, orchestration, and analytics, exactly how real data engineering teams work.

DOWNLOAD LINK: Apache Airflow Masterclass: Build Real-World Projects

Apache_Airflow_Masterclass_Build_RealWorld_Projects.part1.rar – 1000.0 MB
Apache_Airflow_Masterclass_Build_RealWorld_Projects.part2.rar – 1000.0 MB
Apache_Airflow_Masterclass_Build_RealWorld_Projects.part3.rar – 1000.0 MB
Apache_Airflow_Masterclass_Build_RealWorld_Projects.part4.rar – 1000.0 MB
Apache_Airflow_Masterclass_Build_RealWorld_Projects.part5.rar – 727.6 MB

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