Docker training courses

DevOps

Docker

Container adoption stalls when every engineer installs Docker differently, builds images by habit, and deploys to cloud services without a shared workflow. This Docker course gives DevOps teams a common baseline, from local setup on Linux, Windows, and WSL through image builds, multi-container workflows, and cloud deployment. IT Directors and Team Leads can assign it to DevOps professionals with roughly three to five years of experience. The team works through creating and managing containers, building Docker images for repeatable deployments, configuring Docker Compose and Docker Swarm, and deploying containerized applications to Kubernetes, Amazon ECS, Amazon EKS with eksctl, AWS CodeBuild, and Azure. A dedicated module on Python and Docker-py shows how to automate Docker Engine tasks and cut repetitive manual container management. At about 13 hours per learner, the course fits a multi-week enablement plan rather than a one-day session. Training Managers can sequence it with Playlists alongside internal standards for image creation, deployment targets, and automation ownership, then use Team Reporting to track per-learner progress and completion and see who is ready for hands-on container work.