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Apache Airflow

This Apache Airflow course by Koenig Original equips data engineers and analytics engineers with practical skills to design, schedule, and monitor complex data workflows using Directed Acyclic Graphs (DAGs). It solves the critical pain point of unreliable, hard-to-maintain data pipelines by teaching industry best practices in orchestration. With Apache Airflow adopted by over 77,000 organizations globally as of 2024 and required in 36% of Data Engineer job postings, mastering it is essential for career relevance in modern data infrastructure.

Preparation for the Astronomer Certification for Apache Airflow 3 Fundamentals is integrated into the curriculum, enhancing credibility and job readiness. Koenig’s Guaranteed-to-Run live training ensures flexible, instructor-led access to 32 hours of hands-on labs and official courseware, empowering learners to confidently deploy scalable pipelines and advance into high-demand roles in data orchestration and MLOps.

32 Hours (4 Days)
Live Online / Classroom
0+ professionals trained

Training Formats & Pricing

1-on-1 USD 1,800
Dedicated instructor, your schedule Fastest
Public Batch USD 1,400
Group class, fixed schedule Most Popular
Self-Paced On Request
Recorded sessions, learn anytime Best Value

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Course Overview

The Apache Airflow course by Koenig Original is a comprehensive training program designed for data engineers, analytics engineers, and machine learning engineers seeking expertise in orchestrating complex data workflows. This course prepares participants for the Astronomer Certification for Apache Airflow® DAG Authoring exam, a recognized credential validating proficiency in building reliable data pipelines. With Apache Airflow listed in 36% of Data Engineer job postings and adopted by 95% of organizations for mission-critical operations, this training meets high industry demand. Participants gain foundational and advanced skills in Directed Acyclic Graphs (DAGs), task dependencies, scheduling, and workflow automation, making them highly competitive in the data engineering landscape.

This hands-on training covers key technologies including Python, SQL, AWS S3, Azure Blob Storage, Google Cloud Storage, and Kubernetes, with deep dives into Airflow Operators, Sensors, Hooks, XComs, and Executors (Local, Celery, Kubernetes). Learners engage in practical labs using the official Airflow UI and CLI, where they build and deploy production-grade DAGs, configure multi-cloud integrations, and implement CI/CD pipelines for data workflows. A key project involves designing a cross-cloud ETL pipeline that ingests data from AWS, processes it via Google Dataproc, and stores results in Azure, simulating real-world data orchestration challenges. The lab environment replicates enterprise setups, ensuring participants gain experience with scalable, secure, and monitored Airflow deployments.

By completing this Apache Airflow training from Koenig Original, professionals prepare for the Astronomer DAG Authoring Certification, which is increasingly recognized by leading tech employers. Certified practitioners report average salaries of $133,080, reflecting the high value placed on workflow automation skills. Koenig differentiates itself with Guaranteed-to-Run batches, official courseware, and flexible 1-on-1 training options, ensuring personalized learning and exam readiness. Graduates emerge equipped to design, manage, and optimize data pipelines in modern data platforms, positioning them for advancement into senior data engineering and MLOps roles.

What You'll Learn

Design efficient Directed Acyclic Graphs (DAGs) in Apache Airflow to streamline complex workflows
Implement task dependencies, scheduling, and XComs to ensure reliable automation based on Apache Software Foundation standards
Configure Apache Airflow operators, sensors, and Hooks for seamless workflow automation and robust data pipeline connectivity
Deploy scalable workflows using KubernetesPodOperator and dynamic DAG generation to handle large data volumes
Monitor and troubleshoot data pipelines in Apache Airflow to minimize downtime and improve reliability
Optimize Apache Airflow performance using industry-standard orchestration patterns for faster, more efficient data processing

Prerequisites

Recommended knowledge before taking this course
  • Basic familiarity with Linux OS to navigate server environments
  • Proficiency in Python programming to customize Apache Airflow workflows
  • Understanding of Directed Acyclic Graphs (DAGs) for designing data pipelines
  • Experience with command-line interface (CLI) operations to manage Airflow tasks
  • Knowledge of data pipelines and workflow orchestration to automate complex processes
  • Working understanding of version control systems like Git to track project changes
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Certification Exam

Everything you need to know about the Apache Airflow certification exam

Exam Details
Exam Name
Apache Airflow
Exam Cost
$150
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Candidates have 30 days from enrollment to complete this Apache Airflow exam. Unused attempts expire after 30 days, requiring a new purchase. Each retake requires a separate purchase without a mandatory waiting period.
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Apache Airflow

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What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

Hands-On Lab

Live Lab Sandbox

Real Environment

Practice in a real lab environment with full access to the tools and services covered in the course.

30+ Guided Labs

30+

Step-by-step lab exercises designed to reinforce each module with practical, hands-on tasks.

Lab Manual Included

Full Guide

Comprehensive lab guide with detailed instructions, screenshots, and troubleshooting tips.

Post-Training Access

30 Days

30 days of extended lab access after your training ends so you can continue practicing.

Career Outcomes

78%

of Apache Airflow certified professionals report career advancement within 6 months

Salary Impact

+25%

Average salary increase reported after obtaining the Apache Airflow certification

Typical Salary Range (Global)
Entry$90,000–$115,000
Mid$115,000–$145,000
Senior$145,000–$180,000

*Source: Glassdoor / LinkedIn 2025

Job Roles

6
  • Data Engineer
  • Airflow Developer
  • Data Pipeline Engineer
  • ETL Developer
  • Workflow Automation Engineer
  • Senior Data Engineer

Companies Hiring

5,000+
Airbnb Netflix Uber Google Amazon Capgemini Accenture Deloitte CrowdStrike Spotify

and 5,000+ organizations worldwide seeking Apache Airflow certified professionals

Real Transformations

Course Student Reviews

Real results from IT professionals who trained with Koenig — rated 4.9/5 from 18,400+ verified reviews.

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  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

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  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

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    Head of L&D, UK Enterprise

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  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified

Frequently Asked Questions

Everything you need to know about the Apache Airflow training course

Is the Apache Airflow certification exam included in the course fee, and what is the cost if separate?
The Apache Airflow certification exam is not included in the course fee and costs $150 USD separately. Koenig Original offers an optional exam voucher as a convenient add-on. The Astronomer Certified DAG Authoring exam is the official credential, and candidates have 30 days from enrollment to schedule and complete it.
What training formats are available for the Apache Airflow course, and does Koenig offer Guaranteed-to-Run scheduling?
Koenig Original provides Apache Airflow training via live online, 1-on-1, and classroom formats, all featuring Guaranteed-to-Run scheduling. Sessions utilize 4-hour weekday or 8-hour weekend slots. Flexi Video, a self-paced option, is also available for flexible learning with a comprehensive one-year subscription.
How long is lab access provided, and what type of lab environment is used for the Apache Airflow course?
Hands-on lab access for the Apache Airflow course is provided for 6 months via the Koenig Original TechLabs platform. Labs use a cloud-hosted sandbox with pre-configured Apache Airflow instances, allowing students to master DAG creation, scheduling, and monitoring within a secure, real-world development environment.
What is Koenig's rescheduling and cancellation policy for the Apache Airflow training course?
Koenig Original permits rescheduling of Apache Airflow training; however, a 50% fee applies if canceled within 10 days of the start date. The same training cannot be rescheduled more than once. Outside this window, full refunds are available under our Happiness Guarantee policy.
What is the format, number of questions, passing score, and time limit for the Apache Airflow certification exam?
The Astronomer Certified DAG Authoring exam features 75 multiple-choice questions, a 60-minute time limit, and a 70% passing score (53 correct). The exam validates expertise in Dynamic Task Mapping, TaskFlow API, XComs, and DAG scheduling, based on the latest Apache Airflow v3 standards.
How long is the Apache Airflow certification valid, and what is the renewal process and cost?
The Astronomer Certified DAG Authoring credential is valid for life and requires no renewal. Once passed, you receive a digital badge from Credly to verify your expertise. There are no recurring renewal fees or mandatory continuing education credits required to maintain your status.
What post-training support does Koenig provide after completing the Apache Airflow course?
Koenig Original provides 6 months of access to recorded sessions, labs, and a course completion certificate. Students may opt for additional 4-hour live doubt-clearing sessions. Flexi subscribers receive one year of unlimited video access and free upgrades to newer Apache Airflow course versions.
What are the recommended prerequisites or experience needed before taking the Apache Airflow certification exam?
Astronomer recommends 6 months of hands-on experience with Apache Airflow before attempting the DAG Authoring certification. Candidates should be proficient in Python, DAG design, and Airflow operators. Completing the free Astronomer Academy prep course is strongly advised to ensure your exam success.
What is the average salary for professionals with Apache Airflow certification, and what job roles benefit most?
Professionals with Apache Airflow certification earn an average base salary of $115,000 annually, with senior roles exceeding $150,000. Data engineers, analytics engineers, and ETL developers are in high demand, particularly at organizations leveraging cloud data platforms like AWS, GCP, and Snowflake.
How does Koenig's Apache Airflow training compare to self-study in terms of effectiveness and time required?
Koenig Original instructor-led Apache Airflow training delivers structured, hands-on learning in 24–32 hours, drastically reducing the learning curve compared to self-study. With expert guidance and dedicated labs, students achieve certification readiness significantly faster than through free online resources alone.
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