- Scalability
- Application Deployment
- Cloud Development
- Microservices
- Docker (Software)
- Virtual Machines
- Database Management
- Containerization
- Site Reliability Engineering
- Kubernetes
- Virtualization
- Cloud-Based Integration
Virtualization, Docker, and Kubernetes for Data Engineering
Completed by Ahmad Kaikati
February 5, 2024
27 hours (approximately)
Ahmad Kaikati'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
