Explain how Docker solves environment inconsistency and the works-on-my-machine problem
Differentiate images, containers, and registries using clear mental models
Describe how the Docker Engine shares the host kernel and isolates apps with namespaces and cgroups
Write a Dockerfile, build a tagged image, and run a container with port and volume mappings
Apply everyday Docker commands to manage images and container lifecycle
Configure volumes, bridge networks, and multi-container stacks with Docker Compose
Identify and avoid common pitfalls such as bloated images, root processes, and lost data
Who this course is for
Developers, DevOps engineers, and technical learners new to containers who want portable application packaging. Prerequisites: basic command-line comfort and familiarity with how applications are built and run.
