Docker and Kubernetes: Containerization and Orchestration in Practice
Docker packages applications and their dependencies into portable containers that run consistently across any environment. Kubernetes takes containers further — scheduling, scaling, and self-healing workloads across clusters of machines. Together they form the operational backbone of modern cloud-native software. This track covers both tools end to end, from spinning up your first container to running production-grade clusters with security hardening and custom extensions.
What You Will Learn
You will build Docker images, manage multi-container applications, and design networking and persistent storage strategies. On the Kubernetes side you will work with Deployments, Services, Ingress controllers, and StatefulSets. The track also covers monitoring, logging, and troubleshooting live clusters, setting up CI/CD and GitOps pipelines with Docker and Kubernetes, enforcing Kubernetes security policies, managing persistent storage and state, and extending the platform with custom controllers and serverless patterns.
The Learning Path
Twelve courses progress from A1 to C2. The track opens with Docker Fundamentals and moves through building and orchestrating multi-container apps, networking, and real-world Dockerization. The Kubernetes half begins at B1 with core orchestration concepts and advances through deployments, monitoring, and GitOps at B2. The final four courses reach C1 and C2, covering Advanced Kubernetes Networking & Ingress, Persistent Storage & State Management, Kubernetes Security & Advanced Best Practices, and Kubernetes Extensibility & Serverless Patterns.
How It Works
Each course is broken into short, focused lessons you complete in the built-in editor with real-time feedback. When you get stuck, an AI tutor explains the concept and guides you to the solution without giving it away — so the understanding sticks.