Learn container basics
Understand images, containers, Dockerfiles, volumes, and common Docker workflows.
DevOps · Containers, images and reproducible environments
Docker
Learn to containerize applications using Docker images, Dockerfiles, volumes, networks, Docker Compose, debugging, security practices, and deployment workflows.
Move from container fundamentals to a complete containerized application with reproducible local development, documentation, and deployment-ready configuration.
Course overview
Docker helps developers package applications and their dependencies into portable containers. Containers can make local development, testing, and deployment more consistent across different environments.
This course introduces Docker concepts, installation, images, containers, Dockerfiles, volumes, networks, Docker Compose, debugging, image optimization, security practices, and deployment considerations.
The proposed capstone is a Containerized Application project that covers application packaging, environment configuration, persistent data, multi-service setup, documentation, and reproducible execution.
Docker is more than running commands. Reliable container workflows depend on clear Dockerfiles, controlled dependencies, appropriate volumes, secure configuration, useful logs, and reproducible documentation.
Prerequisites
This course is designed for learners with basic computer and command-line familiarity.
- Basic computer and operating-system knowledge.
- Comfort using a terminal or command prompt.
- Basic understanding of files and folders.
- Basic programming knowledge is helpful but not required.
- Git and GitHub familiarity is recommended.
- Prior Docker experience is not required.
Readiness activity
Explain why an application may work on one computer but fail on another. Identify two dependencies that could cause this problem and describe how containers may help.
Who can explore this course?
Package applications
Create reproducible development and deployment environments for applications and services.
Build deployment skills
Explore container configuration, Compose workflows, logs, health checks, and deployment concepts.
Improve troubleshooting
Learn how to inspect containers, review logs, manage resources, and resolve common Docker issues.
What you will learn
- Explain containers, images, registries, and Docker architecture.
- Install and configure Docker Desktop or Docker Engine.
- Run, inspect, stop, and remove containers.
- Write clear and efficient Dockerfiles.
- Build, tag, and manage Docker images.
- Use volumes for persistent application data.
- Configure container networks and port mappings.
- Use environment variables and configuration files safely.
- Create multi-container applications with Docker Compose.
- Inspect logs and troubleshoot common container issues.
- Apply image optimization and security practices.
- Document and share a reproducible containerized project.
Curriculum outline
The ten-module outline moves from Docker fundamentals to a complete containerized application project. Exact Docker edition, operating system, and project tools should be confirmed before delivery.
01
Docker fundamentals
Understand what containers are, how they differ from virtual machines, and why teams use Docker.
- Containers and virtual machines.
- Images, containers, and registries.
- Docker architecture and Docker Engine.
- Docker Desktop and Docker Engine differences.
- Common Docker terminology.
- Container use cases and limitations.
Practice: Explain the difference between an image and a container using a simple diagram.
02
Environment setup and Docker CLI
Install Docker, verify the setup, and learn the essential command-line workflow.
- Installing Docker Desktop or Docker Engine.
- Verifying Docker installation.
- Docker CLI basics.
- Running a first container.
- Container lifecycle commands.
- Getting help and reading command output.
Practice: Run a simple container, inspect its status, view its logs, and stop it cleanly.
03
Images, registries, and Dockerfiles
Learn how Docker images are built, stored, shared, and customized for application requirements.
- Image layers and caching.
- Public and private registries.
- Pulling and pushing images.
- Dockerfile instructions.
- Base images and dependency installation.
- Building and tagging custom images.
Practice: Build a simple custom image from a Dockerfile and run a container from it.
04
Containers, ports, and configuration
Run application containers with appropriate ports, environment variables, and configuration.
- Container naming and identification.
- Port publishing and mappings.
- Environment variables.
- Configuration files and secrets concepts.
- Interactive containers and command execution.
- Copying files into and out of containers.
Practice: Run a web application container with a mapped port and a non-sensitive environment variable.
05
Volumes and persistent data
Understand how containers handle data and use volumes to preserve information beyond a container lifecycle.
- Container filesystem behavior.
- Named volumes and bind mounts.
- Persistent database data.
- Development workflows with source-code mounts.
- Backup and restore concepts.
- Volume cleanup and storage considerations.
Practice: Run a database container with a named volume, remove the container, and verify that data remains.
06
Networks and multi-container communication
Connect containers securely and understand how services communicate within Docker networks.
- Docker network types.
- Container-to-container communication.
- Custom networks and service discovery.
- Port exposure and network isolation.
- Connecting an application to a database.
- Common network troubleshooting steps.
Practice: Create a custom network and connect an application container to a database container.
07
Docker Compose
Define and run multi-container applications using a single Compose configuration file.
- Compose file structure.
- Services, networks, and volumes.
- Environment configuration.
- Build and run workflows.
- Logs, scaling concepts, and service dependencies.
- Compose project cleanup.
Practice: Create a Compose file for an application and database, then start, inspect, and stop the stack.
08
Debugging, logs, and best practices
Diagnose container problems and follow professional practices for maintainable Docker projects.
- Inspecting containers and images.
- Reading container logs.
- Common build and runtime errors.
- Image size and layer optimization.
- Health checks and restart policies.
- Version pinning and reproducible builds.
Practice: Diagnose a container that fails to start, document the cause, and apply a correction.
09
Security and deployment concepts
Review secure container configuration and understand how containerized applications may be deployed.
- Least-privilege container users.
- Secrets and sensitive configuration.
- Image vulnerability concepts.
- Trusted base images and version control.
- Registry access and image tagging.
- Deployment and orchestration concepts.
Practice: Review a Dockerfile for security issues and recommend safer configuration choices.
10
Capstone delivery
Complete the Containerized Application project and prepare reproducible documentation for sharing.
- Application requirements and architecture.
- Dockerfile and Compose configuration.
- Environment variables and volumes.
- Network and service configuration.
- Logs, health checks, and troubleshooting notes.
- README and run instructions.
- Final demonstration and project review.
Practice: Submit a complete Docker project with a README, Compose file, Dockerfile, and run instructions.
Practical exercise ideas
Complete these smaller activities before assembling the final Containerized Application project.
Run and inspect containers
Start a container, inspect its configuration, review logs, and stop it cleanly.
Build a custom image
Write a Dockerfile for a simple application and build a tagged local image.
Persist application data
Use a named volume with a database container and test data persistence.
Connect two services
Create a custom Docker network and connect an application to a database.
Multi-container stack
Define an application and database using Docker Compose, then run and inspect the stack.
Troubleshooting report
Diagnose a container issue, record commands used, and explain the resolution.
Suggested six-week learning plan
This is an illustrative learning sequence. Confirm the academy's official timetable, Docker edition, operating system, and assessment requirements before publishing.
| Week | Focus | Suggested milestone |
|---|---|---|
| 01 | Docker fundamentals and setup | Run, inspect, and stop a container. |
| 02 | Images and Dockerfiles | Build and run a custom application image. |
| 03 | Ports, configuration, and volumes | Run an application with persistent data. |
| 04 | Networks and service communication | Connect an application to a database container. |
| 05 | Docker Compose and debugging | Create and run a multi-container Compose stack. |
| 06 | Security and capstone delivery | Submit and present the containerized application. |
Package an application for reproducible use
Capstone project
Containerized Application
Build a complete containerized application for a chosen approved project. Possible examples include a simple web application, API service, task manager, blog, inventory system, or another suitable educational application.
Core project requirements
- Define the application purpose and main features.
- Create a Dockerfile for the application.
- Use an appropriate base image and dependency installation.
- Configure ports and environment variables safely.
- Use a volume for persistent data where appropriate.
- Create a Docker network for multi-service communication.
- Use Docker Compose for application and database services.
- Include health checks and restart policies where suitable.
- Test container startup, logs, and core functionality.
- Provide a clear README with run and cleanup instructions.
Quality requirements
- Use pinned or clearly documented image versions.
- Do not commit secrets, passwords, API keys, or private data.
- Use environment variables or secret-management concepts for sensitive values.
- Keep the Dockerfile readable and avoid unnecessary layers.
- Document required ports, volumes, and environment variables.
- Explain how to start, stop, inspect, and clean up the project.
- Include troubleshooting notes for common issues.
- Explain security and deployment limitations.
A containerized application should be reproducible. Another learner should be able to follow the README, start the project, and understand its configuration without undocumented manual steps.
Suggested project structure
Keep application code, Docker configuration, environment examples, and documentation separate.
docker-project/
├── app/
│ ├── src/
│ └── package.json
├── docker/
│ ├── Dockerfile
│ └── docker-compose.yml
├── .env.example
├── .dockerignore
├── .gitignore
├── README.md
└── docs/
└── troubleshooting.md
Do not commit private credentials, database passwords, API keys, certificates, or confidential configuration files to a public repository.
Docker workflow
Docker projects are iterative. Build results, runtime errors, and deployment requirements may require changes to the Dockerfile, Compose configuration, or application code.
Define the application
Identify services, dependencies, ports, volumes, and configuration needs.
Create Docker images
Write a Dockerfile, build an image, and test the application container.
Manage data and networks
Use volumes, environment variables, ports, and networks appropriately.
Use Docker Compose
Start multi-service applications with a repeatable Compose configuration.
Inspect and resolve issues
Review logs, inspect containers, test connectivity, and document fixes.
Document the project
Provide a README, configuration examples, and clear run instructions.
Docker Compose is useful for defining multi-container applications locally, while production deployment may require additional considerations such as orchestration, monitoring, scaling, and secure secret management.
Tools and technologies
The exact Docker edition and tools may vary by delivery. The proposed toolkit focuses on practical container development and local deployment workflows.
- Docker Engine
- Docker Desktop
- Docker CLI
- Docker Compose
- Docker Hub concepts
- Visual Studio Code
- Git
- GitHub
- Terminal / Command Prompt
Supporting concepts
- Images, layers, and container lifecycle.
- Dockerfiles and build caching.
- Volumes, bind mounts, and persistent data.
- Networks, ports, and service communication.
- Environment variables and configuration.
- Logs, health checks, and troubleshooting.
Learning outcomes
By completing the proposed lessons and exercises, aim to demonstrate the following abilities:
- Explain Docker containers, images, and registries.
- Use Docker CLI commands confidently.
- Build and manage custom Docker images.
- Write clear and maintainable Dockerfiles.
- Use volumes and networks appropriately.
- Run multi-container applications with Docker Compose.
- Inspect logs and troubleshoot common Docker issues.
- Apply image optimization and security practices.
- Document reproducible container projects.
- Prepare a containerized application for further deployment study.
These are learning objectives, not guarantees of employment, certification, placement, or a specific DevOps role. Progress depends on practice, troubleshooting, documentation, and continued learning.
Related career interests
Illustrative directions for continued learning, not job or placement guarantees.
- Junior Docker Developer
- DevOps Trainee
- Cloud Support Trainee
- Technology Trainee
- Associate Engineer
- Support / Implementation Engineer
- Application Support Trainee
Portfolio presentation ideas
- Explain the application purpose and architecture.
- Show the Dockerfile and explain each major instruction.
- Present the Compose services, networks, and volumes.
- Explain environment configuration and secret handling.
- Show container logs and troubleshooting steps.
- Include a README with clear run instructions.
- Discuss security, optimization, and deployment limitations.
Frequently asked questions
Who is this course for?
It is suitable for beginners, developers, IT support learners, and DevOps learners who want to understand Docker containers and practical container workflows.
Do I need programming experience?
Basic programming knowledge is helpful but not required. Learners should be comfortable using a computer, files, folders, and a terminal or command prompt.
Do I need Docker installed?
Yes, practical exercises require Docker Desktop or Docker Engine. Confirm the required version and operating system support before enrollment.
Will the course cover Docker Compose?
Yes. The curriculum introduces Compose services, networks, volumes, environment configuration, logs, and multi-container application workflows.
Will the course cover Kubernetes?
Docker is a foundation for Kubernetes, but Kubernetes is covered separately. This course focuses on Docker containers, images, Dockerfiles, volumes, networks, and Compose.
What is the capstone project?
The proposed capstone is a Containerized Application project covering a Dockerfile, Compose configuration, volumes, networks, documentation, and reproducible execution.
How long is the course?
The supplied course information proposes a duration of six weeks. Confirm the academy's official schedule, tools, and assessment requirements.
Does this course guarantee a job?
No. The course can support practical learning and portfolio development, but it does not guarantee employment, placement, certification, or salary.
How do I enroll?
This page is a frontend course-information demonstration. Enrollment, payment, scheduling, and admission workflows are not implemented here.
Build once, run consistently
Build your containerized application
Study Docker images, Dockerfiles, volumes, networks, Docker Compose, debugging, and deployment-ready documentation through a practical project.