Docker course content

Category : Tutorial | Sub Category : Docker course content | By Prasad Bonam Last updated: 2023-11-21 14:50:30 Viewed : 213



The content of a Docker course can vary depending on the level (beginner, intermediate, or advanced) and the specific focus (development, operations, security, etc.). Below is a generalized course outline for a comprehensive Docker training program:

Module 1: Introduction to Docker and Containerization

  1. Understanding Containers:

    • Introduction to containerization.
    • Comparison between virtualization and containerization.
  2. Overview of Docker:

    • History and evolution of Docker.
    • Docker architecture: Docker Engine, Images, Containers.
  3. Installation and Setup:

    • Installing Docker on various operating systems.
    • Configuring Docker and Docker Compose.
  4. Docker Basics:

    • Running and managing containers.
    • Creating and modifying Docker images.

Module 2: Docker Images and Containers

  1. Docker Images:

    • Creating Docker images from Dockerfiles.
    • Layered file system and image caching.
  2. Docker Registries:

    • Pushing and pulling images from Docker Hub.
    • Setting up a private Docker registry.
  3. Container Lifecycle:

    • Starting, stopping, and restarting containers.
    • Managing container resources and limits.

Module 3: Docker Compose

  1. Introduction to Docker Compose:

    • Defining multi-container applications.
    • Using YAML to compose services.
  2. Orchestrating Containers:

    • Managing multiple containers using Docker Compose.
    • Networking and service discovery.

Module 4: Docker Networking

  1. Docker Networking Basics:

    • Overview of Docker networking.
    • Bridge, host, overlay, and macvlan networks.
  2. Linking Containers:

    • Connecting containers for communication.
    • Exposing container ports.

Module 5: Docker Volumes and Storage

  1. Docker Volumes:

    • Persistent data storage in containers.
    • Managing volumes in Docker.
  2. Storage Drivers:

    • Overview of storage drivers.
    • Choosing the right storage driver for your use case.

Module 6: Docker Security

  1. Container Security Best Practices:

    • Container isolation and security concerns.
    • Docker security features.
  2. Securing Docker Registries:

    • Implementing secure access controls.
    • Configuring authentication and authorization.

Module 7: Dockerizing Applications

  1. Containerizing Applications:

    • Strategies for containerizing existing applications.
    • Best practices for creating Docker images.
  2. Optimizing Dockerfiles:

    • Writing efficient and secure Dockerfiles.
    • Minimizing image size.

Module 8: Docker Swarm and Orchestration

  1. Introduction to Docker Swarm:

    • Overview of Docker Swarm mode.
    • Setting up a Swarm cluster.
  2. Service Orchestration:

    • Deploying and managing services in a Swarm.
    • Scaling and updating services.

Module 9: Monitoring and Logging

  1. Docker Monitoring Tools:

    • Monitoring container performance.
    • Using tools like Prometheus and Grafana.
  2. Logging in Docker:

    • Configuring and managing container logs.
    • Analyzing logs for troubleshooting.

Module 10: Continuous Integration and Deployment with Docker

  1. Docker in CI/CD Pipelines:

    • Integrating Docker into CI/CD workflows.
    • Automating Docker image builds and deployments.
  2. Container Orchestration Tools (Optional):

    • Brief overview of Kubernetes and other orchestration platforms.

Module 11: Advanced Docker Concepts (Optional)

  1. Docker Swarm Mode Deep Dive:

    • Advanced features and configurations in Docker Swarm.
  2. Docker Security Features:

    • AppArmor, seccomp, and other security mechanisms.

Module 12: Real-world Use Cases and Best Practices

  1. Case Studies:

    • Real-world examples of Docker adoption.
    • Best practices from industry use cases.
  2. Troubleshooting and Debugging:

    • Identifying and resolving common Docker issues.
    • Debugging techniques.

Lab Exercises and Hands-on Projects:

The course should include practical lab exercises and hands-on projects to reinforce theoretical concepts and give participants hands-on experience with Docker.

Certification (Optional):

If the course is part of a certification program, participants may prepare for and take a Docker certification exam to validate their knowledge and skills.

This course content is a general guideline, and the depth and breadth of each topic can be adjusted based on the target audience and their level of expertise. Additionally, Docker is an evolving technology, so the course content should be updated to reflect the latest features and best practices.

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