Why Docker Matters in DevOps
Docker gives you a reproducible deployment artifact. You build once, then run the exact same image in development, CI, staging, and production. This removes environment drift and dramatically reduces release risk.
🐳 Docker — Zero to Hero
Master Docker end to end: container fundamentals, image builds, networking, persistence, registries, Compose workflows, production hardening, and real troubleshooting patterns used in DevOps teams.
Start Learning →16
Lessons
4
Sections
10h
Estimated Time
150+
Interview Q&A
0% complete
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⚡
What You Will Be Able to Do
By the end of this course, you can write production-grade Dockerfiles, build and optimize secure images, debug runtime failures quickly, publish to registries, and connect Docker workflows to Kubernetes, AKS, and CI/CD pipelines.
🔰 Basics
Build your foundation: understand containers vs VMs, Docker architecture, Dockerfile instructions, and daily run/inspect/debug commands.
What is Docker and Why Containers Over VMs
Learn what Docker solves, why containers became the standard, and how they differ from virtual machines.
Lesson 1
Docker Architecture, Images, and Containers
Understand client/daemon/registry flow, image layers, and container lifecycle internals.
Lesson 2
Dockerfile and Image Build Process
Write Dockerfiles correctly, optimize cache usage, and produce clean build artifacts.
Lesson 3
Running, Inspecting, and Managing Containers
Use run, exec, logs, inspect, stats, and lifecycle commands for day-to-day operations.
Lesson 4
⚙️ Intermediate
Move from single containers to real app workflows with persistent data, networking, registries, and Compose-managed multi-service stacks.
Volumes, Bind Mounts, and Persistent Data
Persist container state correctly and choose the right storage pattern for dev and prod.
Lesson 5
Docker Networking, Port Mapping, and Service Discovery
Expose services safely, wire containers, and troubleshoot DNS and connectivity issues.
Lesson 6
Registries, Tagging, and Push/Pull Workflows
Version images properly and move them through Docker Hub/ACR workflows.
Lesson 7
Docker Compose for Local Multi-Container Apps
Define full local environments in YAML and run complete app stacks with one command.
Lesson 8
🚀 Advanced
Connect Docker to platform engineering with CI/CD automation, Kubernetes compatibility, image security, and production-grade runtime controls.
Docker in CI/CD with Azure DevOps and GitHub Actions
Automate build, test, scan, tag, and push workflows in modern delivery pipelines.
Lesson 9
Docker for Kubernetes and AKS
Understand how Docker images are consumed by Kubernetes and AKS production workloads.
Lesson 10
Multi-Stage Builds, Security, and Image Optimization
Build compact, secure images with minimal attack surface and faster pull times.
Lesson 11
Production Operations, Health Checks, and Resource Limits
Run containers safely with health checks, restart policies, and memory/CPU guardrails.
Lesson 12
🧪 Hands-on Labs
Practice complete real-world workflows: build apps, push to registry, debug failures, and prepare for Docker interview rounds.
Lab: Build and Run a Containerized Web App
Build a complete app image, run it locally, and validate the full inner development loop.
Lesson 13
Lab: Push Image to Registry and Deploy
Tag and publish images to ACR, then run deployment and rollback simulation flows.
Lesson 14
Debugging Docker Container Failures
Troubleshoot startup, networking, image, and runtime failures using a repeatable process.
Lesson 15
Interview Preparation
Practice beginner to advanced Docker interview questions with practical scenario answers.
Lesson 16