Coursera
1 week to complete at 10 hours a week
This course will teach you how to build a complete DevOps workflow that integrates version control, containerization, automation, and performance optimization to deploy and maintain data engineering systems.
Experience with command-line tools and basic programming concepts; familiarity with databases and data pipelines.
You'll learn systematic approaches to resolve merge conflicts, identify the exact commit that introduced software defects, design strategic branching workflows, implement containerization with multi-stage Dockerfiles, automate infrastructure configuration with Ansible, build comprehensive CI/CD pipelines, and optimize query performance to maintain service levels.
Coursera is a leading online learning platform that partners with top universities and companies to offer high-quality, career-relevant courses and programs. This course is designed and taught by industry professionals to provide practical, hands-on experience with the tools and workflows used in real-world data engineering environments.
By completing this course, you'll develop a comprehensive DevOps skillset that is highly sought after by employers in the data engineering field. You'll be able to manage, automate, and optimize production-grade data systems, making you a valuable asset to any organization looking to build reliable and scalable data infrastructure.
Course fee
Start date
You will be redirected to the training provider to enquire directly. Workinitiatives is not the course or training provider. We aggregate and list courses only.