DataOps: Automation & Reliability

Coursera MOOC / Non-credit USD 49
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DataOps: Automation & Reliability

About this course

Transform your data engineering practice with comprehensive DataOps automation skills that eliminate manual processes, reduce errors by 70%, and accelerate deployment cycles. This specialization teaches you to build production-grade data systems using Git workflows, Docker containerization, CI/CD pipelines, Ansible automation, Airflow orchestration, and advanced debugging techniques. Through hands-on projects simulating real enterprise environments, you'll develop the automation expertise that distinguishes senior data engineers who architect resilient, scalable data platforms from those still managing systems manually.

What you'll learn

  • build production-grade data systems
  • implement Git workflows
  • use Docker for containerization
  • set up CI/CD pipelines
  • automate tasks with Ansible
  • orchestrate workflows with Airflow
  • apply advanced debugging techniques

Course objectives

  • to eliminate manual processes in data management
  • to reduce deployment cycle times
  • to develop skills that distinguish senior data engineers
  • to create resilient and scalable data platforms

Skills you'll gain

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