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Apache Airflow Course Online

35 Lessons
|
40 hours

kodestree 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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Apache Airflow Course Online
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About Course

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

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

Course Curriculum

Course Content

Lesson 1 – Introduction to Apache Airflow

  • What Apache Airflow is and why it’s used
  • Airflow architecture and main components
  • Key concepts: DAGs, tasks, and operators
  • Installation and setup (local and Docker)
  • Using the Airflow Web UI and CLI

Lesson 2 – Core Concepts and Architecture

Lesson 3 – Building and Scheduling Workflows

Lesson 4 – Integrations and Data Pipelines

Lesson 5 – Monitoring and Administration

Lesson 6 – Scaling and Best Practices

Lesson 7 – Hands-On Projects

₹47,940.00
  • Intermediate
  • 50 Total Enrolled
  • 40 hours Duration
  • September 15, 2026 Last Updated

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    ₹47,940.00
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    • Duration: 40 hrs
    • 35 Lessons & Practical Labs
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    ₹47,940.00
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    • Live Interactive Training: 40 hrs
    • 35 Lessons across 7 Modules
    • Plus Full Self-Paced Access & Recordings
    • Real-World Projects & Case Studies
    • 1-on-1 Doubt Sessions with Industry Experts
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    • Resume Building & Placement Assistance
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    Want to know Today's Offer

    Apache Airflow Course Online Certification Exam

    Upon completing the Apache Airflow Course Online, you will receive a globally recognized certification that validates your expertise in professional skills and industry best practices. This certification is a testament to your practical knowledge, hands-on skills, and professional readiness.

    The Technology certification exam assesses your ability to apply real-world concepts, tools, and techniques learned during the course. Certified professionals are in high demand across industries, opening doors to exciting career opportunities and higher salary potential.

    Our certification is recognized by top employers and organizations worldwide. Whether you are looking to advance your current career, switch to a new role, or demonstrate your expertise to clients, this certification gives you the competitive edge you need in today’s fast-paced technology landscape.

    Read more
    Apache Airflow Course Online

    Frequently Asked Questions

    The Apache Airflow Course Online is designed to provide comprehensive, in-depth training in Apache Airflow. 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 The program covers foundational concepts through to advanced techniques to ensure you gain job-ready expertise.

    This course is ideal for beginners, IT enthusiasts, and working professionals who want to build or advance their career in Apache Airflow and qualify for relevant industry roles. There are no stringent prerequisites—basic computer proficiency and a willingness to learn are all that is required. Foundational topics are thoroughly covered during onboarding.

    The course is delivered through interactive, live online sessions led by industry experts. You will also have 24/7 access to LMS resources, study materials, and session recordings so you can catch up or revise at your convenience if you miss any live classes.

    Yes, hands-on learning is a core component of this course. You will work on practical assignments, real-life use cases, and capstone projects using Apache Airflow tools and best practices, helping you build a portfolio to showcase to hiring managers.

    Upon successful completion of the course curriculum and project assessments, you will be awarded an industry-recognized Certificate of Completion from Kodestree. We also offer career assistance, including resume-building workshops, mock technical interviews, and job opportunities to help you transition into relevant industry roles.

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    The trainers explained concepts through real-world attack scenarios, which I was able to apply on the job right after the course. Structured curriculum and hands-on labs were the best part.

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