Docker and DevOps: From Containers to Production
Docker changed how software is built, shipped, and run. Instead of configuring servers by hand, you package your application and its dependencies into a container that runs identically on any machine. Pair that with DevOps practices — CI/CD pipelines, orchestration, monitoring — and you get reliable deployments at any scale. This track covers both: the container primitives and the operational discipline that makes them useful in real teams.
What You Will Learn
You will learn to build and manage Docker images, write Dockerfiles, and compose multi-service applications with Docker Compose. Networking between containers, persistent data volumes, and Docker Swarm orchestration are covered in depth. On the DevOps side, you will set up CI/CD pipelines with Jenkins and Docker, deploy workloads to Kubernetes, configure pods and services, and apply security best practices for container environments. The track closes with advanced Dockerfile optimization techniques and monitoring and logging patterns used in production systems.
The Learning Path
Twelve courses span A1 through C1. The track opens with Introduction to Docker & Containerization (the only free course) and moves through Docker Compose, image management, and networking before introducing Foundations of DevOps Principles and Kubernetes Basics & Pods at B1. The B2 block covers CI/CD with Jenkins, Swarm orchestration, Kubernetes deployments, and monitoring. The two C1 courses — Advanced Dockerfile Optimization and Security Best Practices for Containers — are where experienced practitioners will sharpen production-readiness skills.
How It Works
Each course is split into short, hands-on lessons you complete in the built-in editor with real-time feedback and an AI tutor available when you get stuck. Concepts are taught through working examples — actual docker run commands, Compose files, and Kubernetes manifests — so you build practical muscle memory rather than just reading theory.
