Course Title: Mastering Docker: From Beginner to Advanced
Course Duration: 6 Weeks (12 Sessions, 2 Sessions per Week)
Understand the fundamentals of Docker and containerization.
Learn how to create, manage, and deploy Docker containers.
Gain hands-on experience with Docker Compose, Docker Swarm, and Kubernetes.
Explore best practices for Docker security, networking, and storage.
Prepare for real-world Docker usage in DevOps and CI/CD pipelines.
Overview of containerization
Docker vs Virtual Machines
Docker architecture: Docker Engine, Images, Containers, Registries
Installing Docker on different platforms (Windows, macOS, Linux)
Running your first container
Docker commands: docker run
, docker ps
, docker images
, docker rm
Understanding Docker images and layers
Pulling and pushing images from Docker Hub
Writing Dockerfiles
Dockerfile instructions: FROM
, RUN
, COPY
, CMD
, ENTRYPOINT
, EXPOSE
Building and tagging images
Best practices for optimizing Dockerfiles
Image versioning and tagging
Removing unused images and containers
Using Docker Hub and private registries
Introduction to multi-stage builds
Default Docker networks: bridge, host, none
Creating custom networks
Linking containers and communicating between them
Exposing ports and mapping ports to the host
Docker volumes and bind mounts
Persistent data storage with volumes
Sharing data between containers
Backup and restore strategies for Docker volumes
What is Docker Compose?
Writing docker-compose.yml
files
Defining services, networks, and volumes
Starting and stopping multi-container applications
Environment variables in Docker Compose
Scaling services with Docker Compose
Using Docker Compose for development and testing
Integrating Docker Compose with CI/CD pipelines
Introduction to Docker Swarm
Setting up a Swarm cluster
Deploying services in a Swarm
Managing Swarm services and scaling
Overview of Kubernetes and its relationship with Docker
Deploying Docker containers on Kubernetes
Basic Kubernetes concepts: Pods, Deployments, Services
Understanding Docker security risks
Securing Docker daemon and containers
Using Docker Content Trust (DCT)
Scanning images for vulnerabilities
Optimizing Docker performance
Monitoring and logging Docker containers
Using Docker in DevOps and CI/CD pipelines
Case studies: Docker in production environments
Hands-on labs and exercises
Quizzes and assignments
Recommended reading and documentation
Final project: Deploy a multi-container application using Docker Compose or Kubernetes
Basic understanding of Linux command line
Familiarity with software development and deployment concepts
Developers
DevOps Engineers
System Administrators
IT Professionals
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