Docker Containers & DevOps Training

About Course

This comprehensive Docker training course provides an in-depth understanding of containerization and Docker’s ecosystem. Learn how to create, deploy, and manage containers, integrate Docker with CI/CD pipelines, and scale applications in a cloud-native environment using Docker and Kubernetes.

Course Objectives:

By the end of this course, participants will:

Understand the fundamentals of containerization and Docker’s ecosystem.
Install and configure Docker on various platforms (Linux, macOS, Windows).
Learn to build and manage Docker images and containers.
Explore networking, storage, and security in Docker environments.
Use Docker Compose for multi-container applications.
Set up and manage Docker Swarm clusters for orchestration.
Integrate Docker with CI/CD pipelines for automated workflows.
Gain insights into advanced Docker concepts like using Docker with Kubernetes.

Course Duration:

Total Duration: 40 Hours (Approx.)
Time Commitment: 4-5 hours per week

What Will You Learn?

Introduction to Docker: Understanding the basics of containerization and Docker’s benefits.
Installing Docker: Learn the installation process for Docker on Linux, macOS, and Windows.
Docker Architecture: Deep dive into Docker's architecture, components, and its command-line interface.
Docker Images and Containers: Learn how to create, build, and manage Docker images and containers.
Docker Networking: Understand how Docker handles networking and manage inter-container communication.
Docker Storage and Volumes: Learn how Docker handles persistent storage with volumes.
Docker Compose: Set up and manage multi-container applications using Docker Compose.
Docker Security: Implement security best practices for Docker containers and manage secrets.
Docker Swarm and Orchestration: Use Docker Swarm to manage and orchestrate multi-container applications.
CI/CD with Docker: Automate Docker image builds and deployments within CI/CD pipelines.
Docker with Kubernetes (Optional): Explore Docker integration with Kubernetes for container orchestration.
Advanced Docker Concepts (Optional): Docker on cloud platforms and for microservices architecture.

Material Includes

Step-by-step installation guides for Docker.
Hands-on labs for every module with practical exercises.
Real-world use cases of Docker in different environments.
Troubleshooting tips and best practices for managing Docker containers.

Course Curriculum

Module 1: Introduction to Docker

Objective: Understand the basics of containerization and Docker.
Topics: Overview of containerization, benefits over VMs, Docker ecosystem, and containers vs virtual machines. Lab/Exercise: Install Docker and explore basic commands.

Module 2: Installing Docker

Module 3: Docker Architecture and Components

Module 4: Docker Images and Containers

Module 5: Docker Networking

Module 6: Docker Storage and Volumes

Module 7: Docker Compose

Module 8: Docker Security

Module 9: Docker Swarm and Orchestration

Module 10: CI/CD with Docker

Module 11: Docker with Kubernetes (Optional)

Module 12: Advanced Docker Concepts (Optional)

Your Instructors

kodestree

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Docker Containers & DevOps Training

March 17, 2025

About Course

What Will You Learn?

Material Includes

Course Curriculum

Module 1: Introduction to Docker

Objective: Understand the basics of containerization and Docker.

Topics: Overview of containerization, benefits over VMs, Docker ecosystem, and containers vs virtual machines. Lab/Exercise: Install Docker and explore basic commands.

Module 2: Installing Docker

Objective: Learn how to install Docker on different operating systems.

Topics: Docker installation on Linux, macOS, and Windows; prerequisites and dependencies; verifying installation. Lab/Exercise: Perform Docker installation and test it using basic commands.

Module 3: Docker Architecture and Components

Objective: Dive into the architecture and key components of Docker.

Topics: Docker Daemon, CLI, Registry, Images, and Containers. Docker Compose and Swarm for orchestration. Lab/Exercise: Explore Docker architecture and perform basic Docker operations.

Module 4: Docker Images and Containers

Objective: Learn to work with Docker images and containers.

Topics: Creating and managing Docker images, Docker Hub repositories, container lifecycle, running containers interactively. Lab/Exercise: Build Docker images using Dockerfiles and run containers.

Module 5: Docker Networking

Objective: Understand how networking works within Docker.

Topics: Docker networking basics, bridge, host, none, and overlay networks, managing network namespaces and IP routing. Lab/Exercise: Set up and manage custom Docker networks, link containers, and explore Docker Compose networking.

Module 6: Docker Storage and Volumes

Objective: Learn how to handle persistent data in Docker.

Topics: Understanding Docker volumes and types, managing data in containers, backing up and restoring volumes. Lab/Exercise: Mount volumes to containers, manage persistent storage, and backup/restore volumes.

Module 7: Docker Compose

Objective: Manage multi-container applications with Docker Compose.

Topics: Docker Compose basics, creating and running multi-container applications, using docker-compose.yml. Lab/Exercise: Create a Docker Compose file to deploy a web app with a database.

Module 8: Docker Security

Objective: Learn how to secure Docker containers.

Topics: Docker security best practices, user namespaces, restricting container capabilities, using Docker security scanning tools. Lab/Exercise: Secure a Docker container using best practices and scan for vulnerabilities.

Module 9: Docker Swarm and Orchestration

Objective: Understand Docker Swarm and how to orchestrate containers.

Topics: Introduction to Docker Swarm, setting up clusters, scaling services, rolling updates, service discovery. Lab/Exercise: Deploy multi-container applications using Docker Swarm and manage distributed applications.

Module 10: CI/CD with Docker

Objective: Integrate Docker into CI/CD pipelines.

Topics: Integrating Docker with Jenkins, GitLab CI, GitHub Actions, automating Docker builds and deployments. Lab/Exercise: Set up a CI/CD pipeline with Jenkins to build and deploy Docker containers.

Module 11: Docker with Kubernetes (Optional)

Objective: Learn how Docker integrates with Kubernetes for container orchestration.

Topics: Overview of Kubernetes, differences with Docker Swarm, running Docker containers in Kubernetes pods. Lab/Exercise: Deploy a Dockerized application in a Kubernetes cluster.

Module 12: Advanced Docker Concepts (Optional)

Objective: Explore advanced Docker concepts for cloud-native architectures.

Topics: Running Docker on cloud platforms (AWS, Azure, GCP), using Docker in microservices environments. Lab/Exercise: Deploy Docker containers on cloud platforms and use Docker in a microservices architecture.

Your Instructors

kodestree

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