Apache Airflow Course Online

7 Lesson

30 Hours

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igmGuru provides Apache Airflow training online worldwide. This course covers key topics such as Airflow architecture, DAG creation and scheduling, Operators, Sensors, Hooks, XComs, Dynamic Workflows, Monitoring, Error Handling, Logging, and Integration with databases and cloud platforms. Our Apache Airflow course is aligned with industry best practices and prepares you to design, implement, and manage workflow orchestration solutions in complex data and enterprise environments. This Apache Airflow certification course is ideal for data engineers, ETL/BI developers, system architects, and IT teams working on data pipelines, workflow automation, and digital transformation initiatives within modern data ecosystems.

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Overview

Prerequisites

Basic Python knowledge
Familiar with SQL and databases
Understanding of ETL and data pipelines
Basic Linux / command-line skills
Python 3.7+ environment (pip, virtualenv)
Optional: Docker, Git, basic cloud knowledge (AWS / GCP / Azure)

What You Will Learn

Core concepts of Apache Airflow and its architecture
How to install, configure, and manage Airflow environments
Creating and scheduling DAGs (Directed Acyclic Graphs)
Building and orchestrating ETL / data pipelines
Using Airflow operators, sensors, and hooks
Managing workflows and dependencies
Monitoring, logging, and troubleshooting Airflow tasks
Deploying Airflow with Docker or in the cloud
Best practices for Airflow development and maintenance

Key Features

1 On 1 Training Option Available
24 X 7 Lifetime Support & Access
Small Batches Upto 10 Participants
Experienced & Professional Trainers
100% Job Assistance
Instructor Led Training : 30Hrs

Course Curriculum

Lesson 1 - Introduction to Apache Airflow

1. What Apache Airflow is and why it’s used

2. Airflow architecture and main components

3. Key concepts: DAGs, tasks, and operators

4. Installation and setup (local and Docker)

5. Using the Airflow Web UI and CLI

Lesson 2 - Core Concepts and Architecture

1. How DAGs and task dependencies work

2. Task instances and execution flow

3. Common operators (Python, Bash, Email, etc.)

4. Sensors and hooks for external systems

5. Variables, connections, and XComs

6. Types of executors (Sequential, Local, Celery, Kubernetes)

Lesson 3 - Building and Scheduling Workflows

1. Writing and structuring Airflow DAGs in Python

2. Scheduling tasks using cron and timetables

3. Managing task dependencies and retries

4. Handling task failures and SLAs

5. Creating dynamic DAGs and branching logic

6. Best practices for clean, reusable workflows

Lesson 4 - Integrations and Data Pipelines

1. Connecting Airflow to databases and cloud services

2. Building ETL/ELT pipelines

3. Using Airflow with Spark, Kafka, and APIs

4. Managing secrets and credentials securely

5. Triggering external workflows

Lesson 5 - Monitoring and Administration

1. Monitoring DAG runs and task logs

2. Troubleshooting and error handling

3. Setting alerts and notifications

4. Managing users and permissions (RBAC)

5. Backups and configuration management

Lesson 6 - Scaling and Best Practices

1. Scaling Airflow with Celery or Kubernetes

2. Running Airflow in the cloud (AWS, GCP, Azure)

3. Performance tuning and optimization

4. Using Git, CI/CD, and testing for Airflow DAGs

5. Best practices for production environments

Lesson 7 - Hands-On Projects

1. Build and deploy a complete Airflow data pipeline

2. Automate real-world data workflows

3. Monitor, debug, and optimize pipelines

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Course Fees

Online Class Room Program

US $ 799.00

100% Money Back Guarantee

Duration : 30 Hrs
Plus Self Paced

Classes Starting From

Fast Track Batch 11 Jun 2026
Weekday Batch 15 Jun 2026
Weekend Batch 13 Jun 2026

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Flexible Training Schedule Options
Industry Experienced Trainers
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Apache Airflow Certification

Upon successful completion of the Apache Airflow Training, we will provide a well-recognized Course Completion Certificate to all learners. This certificate validates your expertise in Airflow concepts, DAG development, workflow orchestration, and task management, demonstrating your hands-on proficiency in designing, implementing, and monitoring automated data pipelines across complex systems.

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Apache Airflow Course Online