Docker and Kubernetes together form the backbone of modern DevOps, cloud-native development, and microservices architecture. As companies shift from traditional monolithic infrastructure to containerized and orchestrated environments, professionals with Docker and Kubernetes skills are in extremely high demand. This comprehensive course provides end-to-end knowledge—from foundational concepts to advanced real-world deployment techniques. Students will master how to build, package, ship, deploy, orchestrate, scale, and manage containerized applications using Docker and Kubernetes.

Module 1: Introduction to Containers & DevOps Concepts

The course begins with an introduction to virtualization, traditional deployment models, and why containers are transforming the industry. Students learn the difference between virtual machines and containers, the advantages of containerization, and how Docker fits into the DevOps pipeline. This module explains CI/CD, microservices architecture, cloud-native development, immutable infrastructure, and modern workflow automation. Students gain clarity on how containers solve challenges like dependency conflicts, inconsistent deployments, and scaling complexity.

Module 2: Docker Fundamentals

This module introduces learners to Docker—what it is, how it works, and its architecture. Topics include Docker Engine, Docker Daemon, Docker CLI, container lifecycle, and image layering. Students learn how Docker uses namespaces, cgroups, and union file systems to isolate resources and ensure efficiency. By building and running their first containers, students understand how applications and services are packaged for consistent execution across environments.

Module 3: Docker Installation & Setup

Students perform complete environment setup on Windows, macOS, or Linux. They configure Docker Desktop, Docker Engine, and required dependencies. The module includes verifying installations, understanding Docker context, enabling WSL2 (for Windows), and troubleshooting common installation issues. The goal is to ensure every student has a fully functional container development environment.

Module 4: Working with Docker Images & Containers

This module covers:

Pulling images from Docker Hub

Running and stopping containers

Attaching to containers

Executing commands inside containers

Understanding layered image architecture

Creating custom Dockerfiles

Students build optimized Docker images, learn multi-stage builds, understand caching, and implement best practices for container performance and security. Hands-on exercises include containerizing applications in Node.js, Python, Java, or any chosen stack.

Module 5: Docker Networking & Storage

Networking and data management are critical in container orchestration. Topics include:

Bridge, host, and overlay networks

Container-to-container communication

Network isolation and ports

Docker volumes

Bind mounts vs managed volumes

Persistent storage

Secrets management

Students implement real-world use cases such as multi-container communication, persistent database storage, and secure handling of configuration files.

Module 6: Docker Compose & Multi-Container Applications

Docker Compose allows orchestration of multi-container environments. Students learn:

Writing docker-compose.yml files

Services, networks, volumes

Startup dependencies

Building multi-container applications

Scaling services

Logging and monitoring

Projects include setting up a multi-container web application with frontend, backend, and database containers.

Module 7: Introduction to Kubernetes

This module explains why Kubernetes is the world’s leading container orchestration platform.