Apache Airflow Training and Certification in Astana

Apache Airflow Training and Certification in Astana, Kazakhstan

This course provides a comprehensive introduction to Apache Airflow, covering workflow automation.

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Apache Airflow Training and Certification is a professional training program delivered by ProgNXT in Astana, Kazakhstan. ProgNXT, a globally recognized corporate training provider in 55+ countries, offers this Apache Airflow Training and Certification course with hands-on, instructor-led sessions. Apache Airflow is an open-source tool for orchestrating, scheduling, and monitoring workflows. This course will cover: Core concepts of Apache...

Course Code: BQC88
14 Hrs
Last Updated: April 2026

Course Rating5/5

Apache Airflow is an open-source tool for orchestrating, scheduling, and monitoring workflows. This course will cover:

Core concepts of Apache Airflow
DAG (Directed Acyclic Graph) creation and management
Task scheduling, dependencies, and execution
Airflow operators, hooks, and sensors
Monitoring, logging, and troubleshooting workflows
Deploying Airflow in production environments

Welcome to the official Apache Airflow Training and Certification certification program in Astana, Kazakhstan. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge locally. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 14 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

Basic understanding of Python programming
Familiarity with workflow automation and scheduling
Knowledge of SQL and databases (optional but helpful)
Experience with Linux command-line operations

By the end of this course, participants will:

Understand Apache Airflow architecture and core components
Learn how to design, develop, and deploy workflows using DAGs
Gain hands-on experience with task scheduling and execution
Work with Airflow operators, sensors, and hooks
Learn best practices for workflow monitoring and troubleshooting
Explore Airflow deployment options and integration with cloud services

Workflow orchestration and automation
Designing and managing DAGs
Task scheduling and dependency management
Monitoring and debugging workflows
Deploying Airflow in production environments

Understanding Apache Airflow architecture
Building and scheduling DAGs
Working with Operators, Hooks, and Sensors
Troubleshooting Airflow workflows
Deploying and managing Airflow in production

ProgNXT Certificate of Completion will be awarded to participants who successfully complete the training.

Course Agenda

Introduction to Apache Airflow

What is Apache Airflow?
Importance of workflow orchestration
Use cases and real-world applications

Apache Airflow Architecture

Components: Scheduler, Executor, Web Server, Metadata Database
DAGs, Tasks, Operators, and Sensors
Configuring Airflow in different environments

DAGs and Workflow Automation

Creating and managing DAGs
Task dependencies and execution flow
Dynamic DAG generation using Python

Airflow Operators, Hooks, and Sensors

Built-in Operators (Python, Bash, SQL, etc.)
Customizing Hooks and Sensors
Integration with databases, APIs, and cloud services

Scheduling and Execution

Scheduling strategies (Cron, Timetable, Custom Schedules)
Parallel execution and task concurrency
Monitoring task execution with logs

Monitoring, Logging, and Debugging

Web UI and CLI for monitoring workflows
Logging and alerting mechanisms
Debugging failed tasks and error handling

Deploying Apache Airflow

Local vs. Cloud deployment
Running Airflow on Kubernetes and Docker
CI/CD pipelines with Apache Airflow

Best Practices and Security in Airflow

DAG optimization and performance tuning
Security best practices (RBAC, Authentication, Secrets Management)
Handling large-scale workflows efficiently

Official Apache Airflow Documentation
Lecture Notes and Code Samples
Hands-on Lab Exercises
Case Studies and Best Practices Guide

Quizzes and Assignments
Hands-on Lab Exercises
Final Project or Exam

This course is designed to provide practical, hands-on experience for mastering Apache Airflow and its use in real-world data pipeline orchestration.

ProgNXT Certificate of Completion will be awarded to participants who successfully complete the course and assessments.

Apache Airflow Training and Certification Events in astana

Online Events

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More Upcoming Session Dates

October 2026

📍 Astana, Kazakhstan

25th Oct 2026→26th Oct 2026

November 2026

📍 Astana, Kazakhstan

4th Nov 2026→5th Nov 2026

🌐 Online Instructor-Led

9th Nov 2026→10th Nov 2026

📍 Astana, Kazakhstan

19th Nov 2026→20th Nov 2026

🌐 Online Instructor-Led

25th Nov 2026→26th Nov 2026

December 2026

📍 Astana, Kazakhstan

1st Dec 2026→2nd Dec 2026

🌐 Online Instructor-Led

6th Dec 2026→7th Dec 2026

📍 Astana, Kazakhstan

20th Dec 2026→21st Dec 2026

🌐 Online Instructor-Led

26th Dec 2026→27th Dec 2026

Events for other courses in Astana, Kazakhstan

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Apache Airflow Training and Certification in Astana