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Airflow

Master Apache Airflow for workflow orchestration and automate data pipelines with confidence and scalability.
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Save 59% Offer ends on 31-Dec-2025
Course Duration: 10 Hours
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This comprehensive course by Uplatz teaches learners how to use Apache Airflow to author, schedule, and monitor complex data workflows. Designed for data engineers, analysts, and developers, this course takes you from DAG basics to production-grade orchestration setups.
Airflow is a widely adopted open-source tool used by organizations like Airbnb, Twitter, and Slack for managing ETL pipelines, machine learning workflows, and data platform automation.

Course/Topic 1 - Coming Soon

  • The videos for this course are being recorded freshly and should be available in a few days. Please contact info@uplatz.com to know the exact date of the release of this course.

    • 01:20
Course Objectives Back to Top
  • Understand core concepts of Apache Airflow and workflow orchestration

  • Author and schedule Directed Acyclic Graphs (DAGs)

  • Use Operators, Sensors, and Hooks to interact with APIs, databases, and filesystems

  • Deploy Airflow using Docker or Kubernetes

  • Monitor, debug, and scale Airflow pipelines

  • Apply best practices for dependency management, retries, and versioning

Course Syllabus Back to Top

Syllabus

Module 1: Introduction to Workflow Orchestration

  • What is workflow orchestration?

  • Airflow architecture overview

  • DAGs and the scheduler

Module 2: Installing Apache Airflow

  • Using pip, Docker, and Docker Compose

  • Airflow CLI and webserver

  • Folder structure and airflow.cfg

Module 3: Creating Your First DAG

  • DAG structure and configuration

  • Tasks, dependencies, and scheduling

  • Writing PythonOperators and BashOperators

Module 4: Advanced Operators and Sensors

  • EmailOperator, PythonOperator, DummyOperator

  • ExternalTaskSensor, TimeSensor

  • Custom operators and plugins

Module 5: Connections and Hooks

  • Connecting to databases, cloud services, and APIs

  • Using PostgresHook, S3Hook, and custom hooks

  • Airflow variables and secrets management

Module 6: XComs, Templates, and Branching

  • Sharing data between tasks

  • Jinja templating

  • Conditional execution and branching

Module 7: Deployment and Scaling

  • Airflow on Docker and Kubernetes

  • Using Celery and LocalExecutor

  • DAG versioning and deployment best practices

Module 8: Monitoring and Debugging

  • Airflow UI overview

  • Logs, alerts, retries, and SLAs

  • Testing DAGs with unittest and pytest

Module 9: Real-world Projects

  • ETL pipeline using Airflow and PostgreSQL

  • Daily data fetch from APIs to warehouse

  • ML pipeline orchestration with Airflow and S3

Module 10: Certification & Interview Prep

  • Use-case questions and hands-on assessments

  • Design challenges and DAG troubleshooting

Certification Back to Top

Learners who complete the course will receive a Certificate of Completion from Uplatz demonstrating their proficiency in Apache Airflow, DAG design, and data workflow orchestration.

Career & Jobs Back to Top

Airflow expertise is essential in modern data engineering and platform roles. Completion of this course prepares learners for positions such as:

  • Data Engineer

  • Workflow Automation Engineer

  • ETL Developer

  • DevOps/DataOps Engineer

  • Machine Learning Engineer (MLOps focus)

Airflow skills are widely applicable in industries including media, finance, retail, tech, and biotech.

Interview Questions Back to Top
  1. What is Apache Airflow and why is it used?

  2. What is a DAG and how does scheduling work in Airflow?

  3. What are Operators in Airflow?

  4. How do you share data between tasks in a DAG?

  5. What is the difference between LocalExecutor and CeleryExecutor?

  6. How do Sensors work and when should you use them?

  7. What are XComs and how are they used?

  8. How can you deploy Airflow in a production environment?

  9. What is the role of hooks and connections?

  10. How would you monitor and debug a failing DAG in Airflow?

Course Quiz Back to Top
Start Quiz
Q1. What are the payment options?
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A17. Our course is designed to provide you with a solid foundation in the subject and equip you with valuable skills. While the course is a significant step toward your career goals, its important to note that the job market can vary, and some positions might require additional certifications or experience. Remember that the job landscape is constantly evolving. We encourage you to continue learning and stay updated on industry trends even after completing the course. Many successful professionals combine formal education with ongoing self-improvement to excel in their careers. We are here to support you in your journey!

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While we may not offer placement services, we are here to support you in other ways. If you have any questions about the industry, job search strategies, or interview preparation, please dont hesitate to reach out. Remember that taking an active role in your job search process can lead to valuable experiences and opportunities.

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BUY THIS COURSE (USD 17 USD 41)