Docker Mastery: with Kubernetes + Swarm Course Syllabus

Overview: This course provides a comprehensive dive into Docker, Kubernetes, and Swarm, equipping learners with advanced containerization skills essential for modern DevOps and cloud-native environments. Through hands-on labs, real-world case studies, and guided projects, students will master deployment, orchestration, and management of containerized applications. The course spans approximately 15-20 hours, combining theory, practical exercises, and assessments to ensure deep understanding and real-world readiness.

Module 1: Docker Fundamentals and Advanced Concepts

Estimated time: 4 hours

• Introduction to containerization and Docker architecture
• Building and managing Docker images and containers
• Networking and storage in Docker
• Best practices for Dockerfile creation and image optimization

Module 2: Hands-on Deployment Scenarios

Estimated time: 2 hours

• Deploying multi-container applications with Docker Compose
• Managing environments using Docker volumes and networks
• Real-world deployment workflows and debugging techniques
• Integrating Docker into CI/CD pipelines

Module 3: Orchestration with Docker Swarm

Estimated time: 3 hours

• Setting up and managing Docker Swarm clusters
• Deploying services and stacks in Swarm mode
• Scaling and load balancing with Swarm
• Securing and monitoring Swarm clusters

Module 4: Kubernetes Integration and Management

Estimated time: 3 hours

• Introduction to Kubernetes architecture and components
• Deploying applications on Kubernetes using YAML manifests
• Managing pods, services, and deployments
• Integrating Docker with Kubernetes for production workloads

Module 5: Production-Grade Container Security and Operations

Estimated time: 3-4 hours

• Securing Docker hosts and container runtimes
• Implementing role-based access control (RBAC)
• Monitoring and logging containerized applications
• Vulnerability scanning and compliance in container environments

Module 6: Final Project

Estimated time: 4 hours

• Design and deploy a microservices-based application using Docker and Kubernetes
• Orchestrate services using Docker Swarm with high availability
• Implement security best practices and monitoring across clusters

Prerequisites

• Basic understanding of Linux command line and shell scripting
• Familiarity with networking and system administration concepts
• Experience with software development or IT operations

What You'll Be Able to Do After

• Build, deploy, and manage containerized applications using Docker
• Orchestrate containers at scale using Docker Swarm and Kubernetes
• Implement secure and scalable architectures for production environments
• Integrate containers into DevOps pipelines and cloud platforms
• Design and troubleshoot microservices deployments in real-world scenarios