Docker Certified Associate Course Outline

Course Contents / Lesson Plan

Course Title: Docker Certified Associate

Duration: 3 Month

 

 

Trainer Name

  

 
 

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Course Title  

Docker Certified Associate
Objectives and Expectations

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 ·         Docker is a popular platform for developing, shipping, and running applications in containers. Containers provide a lightweight and portable way to package and isolate applications and their dependencies, allowing them to run consistently across different environments. The primary objectives and expectations of Docker include:

·         Containerization:

·         Isolation: Docker containers encapsulate an application and its dependencies, ensuring that it runs consistently across various environments.

·         Portability: Containers can run on any system that supports Docker, providing a consistent environment from development to production.

·         Efficiency:

·         Resource Optimization: Containers share the host OS kernel, which makes them more efficient in terms of resource utilization compared to virtual machines.

·         Quick Start-Up: Containers can start up in seconds, allowing for rapid deployment and scaling.

·         DevOps and Continuous Integration/Continuous Deployment (CI/CD):

·         Consistency: Docker ensures consistency between development, testing, and production environments, reducing the “it works on my machine” problem.

·         Automated Builds: Docker facilitates the creation of Docker images through Dockerfiles, allowing for automated and reproducible builds.

·         Microservices Architecture:

·         Modularity: Docker supports a microservices architecture by allowing developers to break down applications into smaller, independently deployable and scalable components.

·         Orchestration:

·         Docker Swarm and Kubernetes: Docker can be integrated with orchestration tools like Docker Swarm or Kubernetes to manage and scale containerized applications across a cluster of machines.

·         Version Control and Rollback:

·         Image Versioning: Docker images can be versioned, providing a mechanism for version control and rollback in case of issues with newer releases.

·         Security:

·         Isolation: Containers provide process isolation, reducing the attack surface and enhancing security.

·         Immutable Infrastructure: Docker promotes the concept of immutable infrastructure, where containers are treated as disposable, and changes are made by creating new containers rather than modifying existing ones.

·         Collaboration:

·         Registry Services: Docker Hub and other container registries allow developers to share and collaborate on pre-built container images.

·         Cost Reduction:

·         Resource Utilization: Docker’s efficient resource utilization can lead to cost savings in terms of infrastructure requirements.

Ecosystem and Community:

Extensive Ecosystem: Docker has a vast ecosystem of tools and technologies that enhance its functionality.

Community Support: Docker has a large and active community that contributes to its development and provides support.

In summary, Docker aims to provide a consistent and efficient environment for developing, packaging, and running applications, promoting collaboration, scalability, and automation in the software development lifecycle.

 
Entry-level of trainees Four-year degree (bachelor’s degree or global equivalent)

 
Learning Outcomes of the course The learning outcomes of a Docker course typically revolve around gaining a comprehensive understanding of Docker’s key concepts, features, and practical skills for using Docker in various scenarios. Here are common learning outcomes you might expect from a Docker course:

Understanding Containerization:

Define what containers are and understand the advantages of containerization over traditional virtualization.

Docker Architecture:

Explain the architecture of Docker, including the Docker daemon, Docker client, Docker images, and Docker containers.

Installation and Setup:

Install Docker on different operating systems (Windows, Linux, macOS) and configure basic settings.

Docker Images:

Create Docker images using Dockerfiles and understand the layers within images.

Pull and push Docker images from/to Docker Hub or other container registries.

Container Lifecycle:

Start, stop, and restart containers.

Manage the lifecycle of Docker containers, including pausing, removing, and inspecting containers.

Networking in Docker:

Understand Docker networking concepts, including bridge networks, host networks, and overlay networks.

Configure networking for Docker containers.

Storage in Docker:

Manage data persistence using Docker volumes.

Understand storage drivers and their impact on container storage.

Docker Compose:

Define multi-container applications using Docker Compose.

Orchestrate multiple containers as a part of a single application.

Docker Swarm:

Understand the basics of Docker Swarm for orchestrating and scaling containers.

Deploy and manage services in a Docker Swarm.

Security Best Practices:

Implement security best practices for Docker, including container isolation, user privileges, and image vulnerability scanning.

Integration with CI/CD:

Integrate Docker into a Continuous Integration/Continuous Deployment (CI/CD) pipeline.

Automate the build and deployment processes using Docker.

Troubleshooting:

Identify and resolve common issues and errors related to Docker containers.

Use Docker CLI and logs for troubleshooting.

Scalability and Load Balancing:

Scale applications by distributing containers across multiple hosts.

Implement load balancing for containerized applications.

Monitoring and Logging:

Implement monitoring and logging solutions for Docker containers.

Utilize tools like Docker Stats, Prometheus, and ELK stack for container monitoring.

Community and Resources:

Know where to find additional resources, documentation, and community support for Docker-related topics.

By the end of a Docker course, participants should have gained practical hands-on experience and be well-equipped to use Docker in real-world scenarios, whether for development, testing, or production deployments.
­­­Course Execution Plan The total duration of the course:  3 months (12 Weeks)

Class hours: 4 hours per day

Theory: 20%

Practical: 80%

Weekly hours: 20 hours per week

Total contact hours: 240 hours
Companies offering jobs in the respective trade Here are some types of companies that frequently seek professionals with Docker expertise:

  1. Technology and Software Companies:
    • Amazon Web Services (AWS)
    • Microsoft
    • Google Cloud Platform (GCP)
    • IBM
    • Red Hat
    • Docker Inc.
  1. IT Consulting and Services:
    • Accenture
    • Capgemini
    • Deloitte
    • Cognizant
    • Infosys
    • Wipro
  1. Financial Services:
    • JPMorgan Chase
    • Goldman Sachs
    • Bank of America
    • Morgan Stanley
  1. Healthcare and Pharmaceuticals:
    • Pfizer
    • Johnson & Johnson
    • Siemens Healthineers
    • Cerner Corporation
  1. E-commerce and Retail:
    • Amazon
    • Walmart
    • eBay
    • Shopify
  1. Telecommunications:
    • AT&T
    • Verizon
    • T-Mobile
    • Vodafone
  1. Transportation and Logistics:
    • FedEx
    • UPS
    • DHL
    • Maersk
  1. Social Media and Technology Platforms:
    • Facebook
    • Twitter
    • LinkedIn
    • Spotify
  1. Startups:
    • Many startups in various industries adopt containerization and Docker for their development and deployment processes.
  1. Government and Defense Contractors:
    • Companies providing technology solutions to government agencies and defense organizations often seek Docker skills.

When searching for Docker-related jobs, you can use job search platforms like LinkedIn, Indeed, Glassdoor, and specialized IT job boards. Additionally, exploring company career pages and attending industry-related events or conferences can provide valuable insights into job opportunities.
Job Opportunities ·         Information Technology

·         Construction

·         Healthcare

·         Finance and Banking

·         Engineering

·         Manufacturing

·         Consulting

·         Telecommunications

·         Energy and Utilities:
No of Students 25
Learning Place Classroom / Lab
Instructional Resources 1.    Docker Tutorials :

2.    https://www.youtube.com/watch?v=RqTEHSBrYFw

 

 

 

Online Course Website

Udemy: Docker and Containers:
Coursera: Docker Mastery
Pluralsight: Docker Deep Dive
LinkedIn Learning: Learning Docker
edX: edX.org/ Introduction to Docker
Docker’s Official Training Docker Training
Packt: Docker for Cross-Platform
Skillshare: Docker and Containers: The Complete Guide
 

 

 

 

 

MODULES

Scheduled Weeks Module Title Days Hours Learning Units Home Assignment
Week 1 Introduction to Docker

 

 

 

 

 

 

 

 

 

 

 

 

 

 Day 1 Hour 1 Introduction to Containerization  

·  Task 1

 

 

Details may be seen at Annexure-I

 
Hour 2 Understanding containerization concepts
Hour 3  Advantages of containerization
Hour 4 Revision/Questions
Day 2 Hour 1 Docker Architecture and Installation
Hour 2 Overview of Docker architecture

 
Hour 3 Installing Docker

 
Hour 4 Revision/Questions
Day 3 Hour 1 Docker Images
Hour 2 Working with Docker images
Hour 3 Managing Docker containers
Hour 4 Revision/Questions
Day 4 Hour 1 Docker Networking Basics
Hour 2 Docker networking modes
Hour 3 Managing Docker networks
Hour 4 Revision/Questions
Day 5 Hour 1 Installing Docker on various platforms

 
Hour 2 Docker Images and Containers
Hour 3 Introduction Docker CLI
Hour 4 Revision/Questions
Week 2 Working with Docker Day 1 Hour 1 Docker CLI Fundamentals  

·  Task 2

 

 

Details may be seen at Annexure-I

 
Hour 2 Essential Docker CLI commands
Hour 3 Managing Docker containers from the command line
Hour 4 Revision/Questions/Practice
Day 2 Hour 1 Docker Volumes and Storage
Hour 2 Understanding Docker storage drivers
Hour 3 Working with Docker volumes
Hour 4 Revision/Questions/Practice
Day 3 Hour 1 Dockerfile Basics
Hour 2 Introduction to Docker file
Hour 3 Writing Docker files
Hour 4 Revision/Questions/Practice
Day 4 Hour 1 Docker Compose Fundamentals
Hour 2 Introduction to Docker Compose
Hour 3 Writing Docker Compose YAML files
Hour 4 Revision/Questions/Practice
Day 5 Hour 1-4 Practical

 
Week 3 Docker Orchestration

 

 

 

 

 

 

 

 

 

 

 Day 1 Hour 1 Introduction to Docker Swarm ·  Task 3

 

 

Details may be seen at Annexure-I

 
Hour 2 Overview of Docker Swarm
Hour 3 Creating a Docker Swarm

cluster
Hour 4 Revision/Questions/Practice
Day 2 Hour 1 Deploying Applications with Swarm
Hour 2 Deploying services to Docker Swarm
Hour 3 Service scaling and updates in Swarm
Hour 4 Revision/Questions/Practice
Day 3 Hour 1 Introduction to Kubernetes
Hour 2 Overview of Kubernetes architecture
Hour 3 Deploying Kubernetes clusters
Hour 4 Revision/Questions/Practice
Day 4 Hour 1 Deploying Applications with Kubernetes
Hour 2 Creating Kubernetes deployments
Hour 3 Service discovery and load balancing in Kubernetes
Hour 4 Revision/Questions/Practice
Day 5 Hour 1-4 Practical Revision
Week 4 Docker Security and Monitoring Day 1 Hour 1 Docker Security Principles ·  Task 4

 

Details may be seen at Annexure-I

 
Hour 2 Overview of Docker security features
Hour 3 Best practices for securing Docker environments
Hour 4 Revision/Questions/Practice
Day 2 Hour 1 Container Monitoring and Logging
Hour 2 Monitoring Docker containers and hosts
Hour 3 Configuring logging for Docker containers
Hour 4 Revision/Questions/Practice
Day 3 Hour 1 Docker Swarm Security and Monitoring
Hour 2 Securing Docker Swarm clusters
Hour 3 Monitoring Docker Swarm services and nodes
Hour 4 Revision/Questions/Practice
Day 4 Hour 1 Kubernetes Security and Monitoring
Hour 2 Securing Kubernetes clusters
Hour 3 Monitoring Kubernetes pods, services, and nodes
Hour 4 Revision/Questions/Practice
Day 5 Hour 1-4 LAB Practical
Week 5 Advanced Docker Concepts Day 1 Hour 1 Docker Networking Advanced ·  Task 5

 

Details may be seen at Annexure-I

 
Hour 2 Advanced Docker networking concepts
Hour 3 Docker overlay networks
Hour 4 Revision/Questions/Practice
Day 2 Hour 1 Docker Storage Management
Hour 2 Advanced Docker storage management
Hour 3 Docker volume plugins
Hour 4 Revision/Questions/Practice
Day 3 Hour 1 Docker High Availability
Hour 2 High availability strategies for Docker
Hour 3 Docker Swarm and Kubernetes HA configurations
Hour 4 Revision/Questions/Practice
Day 4 Hour 1 Docker Performance Tuning
Hour 2 Performance optimization techniques for Docker
Hour 3 Monitoring and optimizing Docker resource usage
Hour 4 Revision/Questions/Practice
Day 5 Hour 1-4 LAB Practical
Week 6 Continuous Integration and Deployment Day 1 Hour 1 Introduction to CI/CD with Docker ·  Task 6

 

 

Details may be seen at Annexure-I

 
Hour 2 Overview of CI/CD concepts
Hour 3 Integrating Docker with CI/CD pipelines
Hour 4 Revision/Questions/Practice
Day 2 Hour 1 Building Docker Images in CI/CD
Hour 2 Automated Docker image builds
Hour 3 Docker image versioning and tagging strategies
Hour 4 Revision/Questions/Practice
Day 3 Hour 1 Docker Deployment Strategies
Hour 2 Blue-green deployment with Docker
Hour 3 Canary deployment with Docker
Hour 4 Revision/Questions/Practice
Day 4 Hour 1 Docker Monitoring Tools
Hour 2 Overview of Docker monitoring tools
Hour 3 Setting up monitoring and alerting for Docker containers
Hour 4 Revision/Questions/Practice
Day 5 Hour 1-4 Practical / Lab
Week 7 Docker Ecosystem and Integrations Day 1 Hour 1 Docker Compose in Production ·  Task 7

 

Details may be seen at Annexure-I

 
Hour 2 Using Docker Compose for production deployments
Hour 3 Best practices for Docker Compose usage
Hour 4 Revision/Questions/Practice
Day 2 Hour 1 Docker Orchestration with Ansible
Hour 2 Automating Docker Swarm and Kubernetes deployments with Ansible
Hour 3 Managing Docker containers with Ansible
Hour 4 Revision/Questions/Practice
Day 3 Hour 1 Docker with Terraform
Hour 2 Managing Docker infrastructure with Terraform
Hour 3 Provisioning Docker clusters using Terraform
Hour 4 Revision/Questions/Practice
Day 4 Hour 1 Docker in Cloud Environments
Hour 2 Deploying Docker containers on AWS, Azure, and Google Cloud Platform
Hour 3 Integrating Docker with cloud-native services
Hour 4 Revision/Questions/Practice
Day 5 Hour 1-4 Practical / Lab
Week 8 DOS/DDOS & SQL Injection Attack Day 1 Hour 1 Project Work: Designing Dockerized Application ·  Task 8

 

Details may be seen at Annexure-I

 
Hour 2 Designing a containerized application architecture
Hour 3 Selecting appropriate Docker tools and services
Hour 4 Revision/Questions/Practice
Day 2 Hour 1 Project Work: Implementing Dockerized Application
Hour 2 Implementing Docker best practices in the application
Hour 3 Testing and debugging the Dockerized application
Hour 4 Revision/Questions/Practice
Day 3 Hour 1 Project Work: Deployment and Optimization
Hour 2 Deploying the Dockerized application to production
Hour 3 Performance optimization and scaling strategies
Hour 4 Revision/Questions/Practice
Day 4 Hour 1 Review and Feedback
Hour 2 Reviewing key Docker concepts and topics covered
Hour 3 Providing feedback on the course content and delivery
Hour 4 Revision/Questions/Practice
Day 5 Hour 1-2 Practical / Lab
Week 9 Docker Networking and Security Day 1 Hour 1 Advanced Docker Networking ·  Task 9

 

Details may be seen at Annexure-I

 
Hour 2 Docker overlay networks and multi-host networking
Hour 3 Implementing network segmentation and security in Docker
Hour 4 Revision/Questions/Practice
Day 2

 

 Hour 1 Docker Security Best Practices
Hour 2 Hardening Docker containers and hosts
Hour 3 Implementing security policies and controls
Hour 4 Revision/Questions/Practice
Day 3

 

 Hour 1 Docker Secrets Management
Hour 2 Managing sensitive data in Docker applications
Hour 3 Docker secrets and configuration management
Hour 4 Revision/Questions/Practice
Day 4

 

 Hour 1 Docker Security Scanning
Hour 2 Scanning Docker images for vulnerabilities
Hour 3 Implementing continuous security scanning in Docker environments
Hour 4 Revision/Questions/Practice
Day 5 Hour 1-4 Practical / Lab
Week 10 Docker Performance Optimization Day 1 Hour 1 Docker Resource Management  

·  Task 10

 

Details may be seen at Annexure-I

 
Hour 2 Docker resource constraints and limitations
Hour 3 Managing CPU, memory, and I/O resources in Docker
Hour 4 Revision/Questions/Practice
Day 2

 

 Hour 1 Docker Performance Tuning
Hour 2 Identifying and resolving performance bottlenecks in Docker
Hour 3 Optimizing Docker container and image size
Hour 4 Revision/Questions/Practice
Day 3

 

 Hour 1 Docker Load Balancing
Hour 2 Load balancing strategies for Docker containers
Hour 3 Implementing Docker container orchestration with load balancers
Hour 4 Revision/Questions/Practice
Day 4

 

 Hour 1 Docker Logging and Monitoring
Hour 2 Logging best practices for Docker containers
Hour 3 Implementing monitoring solutions for Docker environments
Hour 4 Revision/Questions/Practice
Day 5 Hour 1-4 Practical / Lab
Week 11 Docker Advanced Concepts Day 1 Hour 1 Docker Storage Drivers ·  Task 11

Details may be seen at Annexure-I

 
Hour 2 Understanding Docker storage drivers and options
Hour 3 Selecting appropriate storage drivers for different use cases
Hour 4 Revision/Questions/Practice
Day 2

 

 Hour 1 Docker Networking Plugins
Hour 2 Extending Docker networking with plugins
Hour 3 Implementing custom networking solutions in Docker
Hour 4 Revision/Questions/Practice
Day 3

 

 Hour 1 Docker Plugin Development
Hour 2 Developing custom plugins for Docker
Hour 3 Integrating third-party services with Docker using plugins
Hour 4 Revision/Questions/Practice
Day 4

 

 Hour 1 Docker Community and Ecosystem
Hour 2 Exploring the Docker community and ecosystem
Hour 3 Contributing to Docker projects and initiatives
Hour 4 Revision/Questions/Practice
Day 5 Hour 1-4 Practical / Lab
Week 12

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Week 13

 Docker Project Work and Review

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 Day 1 Hour 1 Project Work: Designing Dockerized Application  

·  Task 12

Details may be seen at Annexure-I

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Final Project

 

 
Hour 2 Designing a containerized application architecture
Hour 3 Selecting appropriate Docker tools and services
Hour 4 Revision/Questions/Practice
Day 2 Hour 1 Project Work: Implementing Dockerized Application
Hour 2 Implementing Docker best practices in the application
Hour 3 Testing and debugging the Dockerized application
Hour 4 Revision/Questions/Practice
Day 3 Hour 1 Project Work: Deployment and Optimization
Hour 2 Deploying the Dockerized application to production
Hour 3 Performance optimization and scaling strategies
Hour 4 Revision/Questions/Practice
Day 4 Hour 1 Final Review and Feedback
Hour 2 Reviewing key Docker concepts and topics covered
Hour 3 Providing feedback on the course content and delivery
Hour 4 Revision/Questions/Practice
Day 5 Hour 1-4 Practical / Lab
 

 

 

 

 

 

 

Final Exam and Assessment

 

 

 

Task No. Task Description Week
1.    Docker Installation ·         Install Docker on a Linux server following best practices. Week 1
2.    Building Docker Image ·         Create a Dockerfile to build a custom image for a Node.js application. Week 2
3.    Docker Networking ·         Configure a custom Docker network for communication between containers. Week 3
4.    Container Orchestration ·         Deploy a multi-container application using Docker Compose. Week 4
5.    Swarm Cluster Setup ·         Set up a Docker Swarm cluster with at least three nodes. Week 5
6.    Swarm Service Deployment ·         Deploy a service on Docker Swarm, ensuring high availability. Week 6
7.    Docker Security Scanning ·         Perform a security scan on a Docker image using Docker Security Scan. Week 7
8.    Docker Volumes ·         Use Docker volumes to persist data between container restarts. Week 8
9.    Kubernetes Basics ·         Deploy a simple application on a Kubernetes cluster. Week 9
10.   Kubernetes Pods ·         Create and manage pods in a Kubernetes cluster. Week10
11.   Kubernetes Deployments ·         Implement rolling updates for a Kubernetes Deployment. Week11
12.   Kubernetes ConfigMaps and Secrets ·         Utilize ConfigMaps and Secrets to manage application configuration. Week12
13. Docker CI/CD Integration ·         Set up a CI/CD pipeline using Docker to automate image builds and deployments.  
14. Monitoring Docker Containers ·         Implement monitoring for Docker containers using Prometheus and Grafana.  
15. Troubleshooting Docker Containers ·         Troubleshoot and resolve common issues with Docker containers and services.  
16 Final Exam ·         Create a Dockerfile for a Python application that installs dependencies, sets environment variables, copies the application code, and exposes the necessary port.  

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