Learn Docker fundamentals and practical container skills for application development, automation, CI/CD, cloud deployments, and modern DevOps workflows.
Docker Learning Path
Docker Fundamentals
Docker Images
Docker Containers
Dockerfiles
Networking & Volumes
Docker Compose
Introduction
Docker makes it easier to package applications and their dependencies into portable containers that can run consistently across different environments.
DevOps engineers use Docker to standardize development environments, automate application builds, run tests, and deploy containerized applications.
Docker knowledge also provides a strong foundation for learning Kubernetes, container orchestration, cloud-native development, CI/CD pipelines, and modern application infrastructure.
Core Topics
Learn the core Docker concepts required to work with modern containerized applications.
Understand containerization, Docker architecture, containers, images, and the core concepts used to package and run applications consistently.
Key Topics
Learn how Docker images are created, stored, downloaded, tagged, and used as reusable templates for running containers.
Key Topics
Understand how containers are created and managed and learn how to start, stop, inspect, and remove running applications.
Key Topics
Learn how to create Dockerfiles to define application environments, install dependencies, copy files, configure ports, and build custom images.
Key Topics
Learn how containers communicate with each other, external systems, and applications using Docker networks and port mappings.
Key Topics
Understand Docker volumes and persistent storage for databases, applications, configuration, and data that must survive container recreation.
Key Topics
Command Line
These commands form part of the everyday Docker toolkit for building, running, inspecting, and troubleshooting containers.
docker --versionDisplay the installed Docker version.
docker pullDownload an image from a container registry.
docker imagesList Docker images available on the local system.
docker runCreate and start a container from an image.
docker psDisplay running containers.
docker ps -aDisplay all containers, including stopped containers.
docker stopStop a running container.
docker rmRemove a container.
docker buildBuild a Docker image from a Dockerfile.
docker logsView container logs for troubleshooting.
docker execRun a command inside a running container.
docker compose upStart a multi-container application using Docker Compose.
Container Workflow
A typical Docker workflow starts with application source code and dependencies. A Dockerfile defines how the application should be packaged into an image.
The image can then be stored in a container registry and deployed as containers across development, testing, staging, or production environments.
Example Docker Workflow
DevOps Applications
Docker is widely used across application development, infrastructure automation, testing, CI/CD, and cloud deployments.
Docker packages applications together with their dependencies so they can run consistently across development, testing, and production environments.
Containers can be built, tested, scanned, and deployed automatically as part of continuous integration and continuous deployment workflows.
Docker allows individual application services to be packaged and deployed independently in a microservices architecture.
Developers can use containers to create consistent local environments without manually installing every dependency.
Docker containers are commonly deployed to cloud platforms, container services, and Kubernetes environments.
DevOps teams automate image builds, testing, publishing, deployment, and infrastructure workflows using Docker and CI/CD tools.
Learning Roadmap
Follow this structured path to build practical Docker and containerization skills.
Learn what containers are and understand how they differ from traditional virtual machines.
Practice downloading, inspecting, tagging, and managing Docker images.
Learn how to create, start, stop, inspect, and troubleshoot containers.
Build your own application images using Dockerfiles and reusable build instructions.
Understand container communication and persistent data management.
Run and manage multi-container applications with services, networks, and volumes.
Continue Learning
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Next Step
Continue learning Docker, Kubernetes, CI/CD, automation, cloud infrastructure, and other essential DevOps technologies.