Cloud Computing & Containerization with Docker Practical Training Course

Schedule: 4 hours per day × 2 days per week × 6 weeks

Target Audience:

• Undergraduate students in Computer Science, IT, Software Engineering
• Prerequisites: Basic understanding of Linux, networking, and web application architecture

 Course Objectives

By the end of this course, students will be able to:

• Understand containerization and its role in modern cloud environments
• Build, run, and manage containers using Docker
• Develop containerized applications with Docker files and Docker Compose
• Integrate Docker with cloud environments (AWS ECS, Azure Container Instances)
• Apply best practices in image creation, security, and CI/CD pipeline basics

Course Modules

 Introduction to Cloud & Containerization

Theory:

• Cloud-native architectures
• Virtual machines vs containers
• What is Docker? Why containerization?
• Overview of Docker Engine, Docker Hub, Docker Compose

Practical:

• Lab: Install Docker on Linux/Windows/Mac
• Lab: Run your first container (hello-world, Nginx)
• Lab: Docker CLI basics (docker PS, docker run, docker logs, docker exec)
• Lab: Pull and explore images from Docker Hub

 Working with Docker Images & Volumes

Theory:

• Image layers and caching
• Docker file syntax and best practices
• Volumes and bind mounts for persistent data

Practical:

• Lab: Build custom Docker images using Docker files
• Lab: Add environment variables, expose ports, and define entry points
• Lab: Mount local volumes into containers
• Lab: Tag, push, and pull images from Docker Hub

 Docker Compose & Multi-Container Apps

Theory:

• Benefits of Docker Compose
• Microservices architecture overview
• Networking between containers

Practical:

• Lab: Create a multi-container app (e.g., Node.js + MongoDB)
• Lab: Define docker-compose .yml and environment variables
• Lab: Scale services using docker-compose up –scale
• Lab: Inspect networks and logs for service communication

Docker in the Cloud (AWS & Azure)

Theory:

• Overview of container services in cloud:
  • AWS ECS (Faregate), ECR
  • Azure Container Instances (ACI), Azure Container Registry (ACR)
• IAM and container roles

Practical:

• Lab: Push Docker images to AWS ECR / Azure ACR
• Lab: Deploy a container using AWS ECS (Faregate) or ACI (via portal or CLI)
• Lab: Set up environment variables and secrets in the cloud
• Lab: Monitor container logs and usage in the cloud console

 Docker Security, CI/CD & Troubleshooting

Theory:

• Docker image security best practices
• CI/CD introduction using GitHub Actions or GitLab CI
• Troubleshooting container issues

Practical:

• Lab: Scan Docker image for vulnerabilities using tools (e.g., Docker Scout, Trivy)
• Lab: Write a CI workflow to build and push Docker image from GitHub
• Lab: Simulate and resolve container issues (e.g., failed ports, missing dependencies)
• Lab: Cleanup, prune, and optimize Docker system usage

 Capstone Project & Assessment

Capstone Project:
Students form teams to containerize a simple full-stack app (e.g., frontend + backend + DB) and deploy it:

• Build and test Docker files
• Use Compose for local orchestration
• Push to Docker Hub or ECR/ACR
• Deploy to a cloud container service (ECS/ACI)

Assessment:

• Final quiz (30%)
• Capstone presentation and demo (50%)
• Lab performance and participation (20%)

Certificate of Completion

Students will receive from (JELECOM) a certificate titled:
“Cloud Computing & Containerization with Docker – Certificate of Achievement”

if you would like to get our course content please register . . .