Application Portability
Package applications and their dependencies into containers that can run consistently across different environments.
Learn Docker step by step and understand how containers, images, Dockerfiles, volumes, networking, and Docker Compose are used to build and run modern applications.
Learning Path
Introduction
Docker is a platform used to package applications and their dependencies into lightweight, portable units called containers. A container provides a consistent environment for running an application.
Instead of manually configuring an application environment on every server, Docker allows developers and operations teams to define that environment using configuration files and reusable images.
Docker is widely used in modern software development, DevOps, cloud infrastructure, CI/CD pipelines, microservices, and Kubernetes-based environments.
Why Learn Docker?
Docker provides a foundation for understanding containers and modern application deployment workflows.
Package applications and their dependencies into containers that can run consistently across different environments.
Create repeatable development environments and simplify the process of running applications and dependencies.
Use lightweight containers that can start quickly and efficiently use system resources.
Build an important foundation for Kubernetes, CI/CD pipelines, cloud-native applications, and modern DevOps workflows.
Core Concepts
Learn these Docker concepts step by step to build a strong foundation in containers and application packaging.
Understand what Docker is, why containers are useful, and how Docker helps applications run consistently across development, testing, and production environments.
Learn the differences between containers and virtual machines, including isolation, resource usage, portability, startup time, and common use cases.
Set up Docker and learn the basic commands used to check Docker status, download images, create containers, and manage running applications.
Understand Docker images, image layers, image repositories, tags, and how images are used as templates for creating containers.
Learn how to create, start, stop, restart, inspect, and remove Docker containers while understanding the container lifecycle.
Learn how to create Dockerfiles and build custom images using instructions such as FROM, RUN, COPY, WORKDIR, EXPOSE, CMD, and ENTRYPOINT.
Understand Docker storage, persistent volumes, bind mounts, and how to preserve application data outside of containers.
Learn how Docker containers communicate with each other, expose ports, use bridge networks, and connect containerized applications.
Learn how Docker Compose helps you define and run multi-container applications using a single configuration file.
Understand container registries, image publishing, versioning, and build practical projects using Docker and containerized applications.
Skills to Learn
These are the core Docker skills you should understand before moving to advanced container orchestration and Kubernetes.
Learning Roadmap
Follow this learning progression to move from Docker fundamentals to practical container projects.
Start by learning what containers are, why they are used, and how they differ from traditional virtual machines.
Practice creating, running, inspecting, stopping, and removing Docker containers and images.
Learn how Docker images work and create your own application images using Dockerfiles.
Learn Docker volumes, bind mounts, networks, and how containers communicate with each other.
Build multi-container applications by defining services, networks, and volumes using Docker Compose.
Containerize real applications and practice building, running, networking, and deploying Docker-based projects.
What's Next?
After learning Docker fundamentals, continue with container orchestration, Kubernetes, CI/CD, Infrastructure as Code, and cloud-native application deployment.
Start Building
Learn Docker fundamentals and build practical container skills that you can use in DevOps, cloud infrastructure, CI/CD, and Kubernetes-based environments.