Where teams start
Most Popular Docker Courses
Teams usually assign the Docker course first. It sets one baseline for setup on Linux, Windows 10, and WSL, then moves through image builds and deployment, so every engineer follows the same container process.
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.
Trevor Sullivan, Ben Finkel, Michael Levan, Shawn Powers
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The latest Docker training added to the catalog — new courses land here within a day of publication.
Frequently asked questions about Docker training
Common questions IT directors ask when evaluating Docker training for their team.
Which roles and experience levels is this Docker training built for?
The Docker course is intermediate-level training aimed at DevOps engineers and administrators who build, run, and deploy containerized applications. It also suits systems and cloud staff who need a shared understanding of how the team's containers are built and shipped.
What does the Docker course cover for my team?
It covers Docker setup on Linux, Windows 10, and Windows Subsystem for Linux, creating and managing containers, building repeatable images, multi-container workflows with Docker Compose, and building a Docker Swarm cluster. It then moves to deployment on Kubernetes, Amazon ECS, Amazon EKS with eksctl, AWS CodeBuild, and Azure, plus automating Docker Engine with Python and Docker-py.
How does this training reduce configuration and security risk?
The course flags insecure choices such as exposing the Docker daemon over an unprotected TCP interface and shows a safer pattern of reaching remote hosts over SSH. Standardizing on these practices helps a team avoid risky daemon configurations and deployments only one engineer understands.
How should a Training Manager sequence Docker training for a team?
Assign the Docker course to the whole team so everyone starts from the same local setup and image-build process. Engineers who own orchestration or cloud delivery can then focus on the Swarm, Kubernetes, Amazon ECS, Amazon EKS, and Azure deployment sections that match their environment.
How can I track my team's progress through the Docker course?
Team reporting shows per-learner progress and completion, cohort and group views, and completion exports you can use as audit evidence. You can also see IT Trainerbot usage, including questions per member, top topics, and the training the answers came from.
How does Docker training fit into onboarding for new DevOps hires?
Assigning the Docker course during onboarding gives new engineers the same container workflow the rest of the team uses, which shortens ramp-up time. IT Trainerbot can answer follow-up Docker questions instantly with a timestamped link to the exact training video where the topic is covered.