Virtualization, Docker, and Kubernetes for Data Engineering
Completed by Ashwin Prakash
February 1, 2024
27 hours (approximately)
Ashwin Prakash's account is verified. Coursera certifies their successful completion of Virtualization, Docker, and Kubernetes for Data Engineering
What you will learn
Master virtualization, containerization, and Docker, including Dockerfile creation and multi-container orchestration with Compose and Airflow.
Develop expertise in Kubernetes core concepts, cluster architecture, and deployment using cloud environments, GitHub Codespaces, and AI-driven tools.
Navigate data scenarios mastering containerization, deploying apps, and addressing production issues with cloud orchestration and SRE practices.
Skills you will gain
- Category: Cloud-Based Integration
- Category: Microservices
- Category: Site Reliability Engineering
- Category: Cloud Deployment
- Category: Application Deployment
- Category: Cloud Development
- Category: Virtualization and Virtual Machines
- Category: GitHub Copilot
- Category: Database Management
- Category: Development Environment
- Category: Test Engineering
- Category: Docker (Software)
