Docker

Container adoption creates operational risk when teams build images, run containers, and deploy to cloud services without a shared workflow. This Docker course gives DevOps teams a common baseline for installing Docker, creating and managing containers, building images, using Docker Compose and Swarm, and deploying containerized applications across AWS, Azure, Kubernetes, ECS, EKS, and CodeBuild scenarios.

IT Directors and Team Leads can assign this to DevOps professionals with roughly three to five years of experience, especially teams standardizing container practices across Linux, Windows/WSL, and cloud environments. The full curriculum is about 13 hours per learner, so it fits well as a multi-week enablement path rather than a one-day onboarding event. For change management, plan to align course completion with internal standards for image creation, deployment targets, and automation ownership.

CBT Nuggets Playlists can help Training Managers sequence this alongside team-specific Docker standards, while Team Reporting helps track completion and identify who is ready for hands-on container work.

IT teams complete this Docker training to reduce inconsistency between development, test, and production container workflows. The course maps to practical container operations, from local setup through cloud deployment and automation.

• Standardize container operations: Teams practice creating, managing, and running Docker containers instead of relying on ad hoc local setup.
• Improve deployment consistency: DevOps practitioners learn how container images support repeatable application delivery across environments.
• Support cloud container initiatives: The curriculum includes AWS EKS with eksctl, AWS CodeBuild, ECS with Docker CLI, Azure containerization, and Kubernetes deployment scenarios.
• Expand automation capability: Teams cover Docker Engine automation with Python and Docker-py, helping reduce repetitive manual container management tasks.

Knowledge

• Docker installation and setup considerations across supported operating systems
• Core container concepts, including creating, running, and managing Docker containers
• How Docker images are built and used in application delivery
• How Docker Compose, Docker Swarm, Kubernetes, ECS, EKS, CodeBuild, and Azure fit into container workflows
• How Python and Docker-py can be used to automate Docker Engine tasks

Ability

• Set up Docker for team development environments, including Windows Subsystem for Linux scenarios
• Create and manage containers for application workloads
• Build Docker container images for repeatable deployments
• Configure multi-container Linux workflows with Docker Compose
• Deploy containerized applications using Kubernetes and selected AWS and Azure container services
• Automate Docker Engine operations with Python-based tooling