
Download the MASTERING DOCKER PPT Document for this course below:
This deck consolidates every diagram, workflow, and checklist from the course. Use it as a visual guide while you watch and as a quick reference during labs. Topics include: Docker fundamentals, Architecture (client/daemon, containerd, runc), clean Installation, Containers (run/exec/logs/limits), Images & Registry (Dockerfile, caching, multi-stage builds, tagging), Networking (user-defined networks, DNS, port publishing), Volumes (named vs. bind, RO, backups), Compose (compose.yaml, healthchecks, restart, scale), and Commands/Lab environment. Links point to official docs for deeper reading.
Tip: keep this deck open alongside the Docker-Commands and Docker-Lab documents.
Version: 2025 Edition — we’ll update as tools evolve.
Download the Docker-Lab documents for this course below:
Download the Docker-Lab and Docker-Commands documents for this course below:
Welcome to Mastering Docker: Practical & Hands-On. Are you ready to dive into the world of Docker and containerization with the industry’s leading tools? This course takes you from beginner to proficient, equipping you with an in-depth understanding of Docker and container concepts.
Turn Docker from buzzword to daily tool. This course teaches you how to think in containers and ship with confidence. You’ll install Docker correctly, understand how the Engine really works, craft efficient images, wire secure networks, persist data with volumes, and orchestrate multi-service apps with Docker Compose—everything reinforced with focused, hands-on labs.
Why this course
Production-style from day one: images you can trust, networks you understand, volumes that protect data.
Modern stack, 2025-ready: Docker Engine + containerd + runc, Compose v2, multi-stage builds, .dockerignore, healthchecks, restart policies.
Muscle-memory labs: small, repeatable exercises so you learn by doing, not just watching.
What you’ll learn (outcomes)
Explain containers vs. VMs, and where Docker fits in modern DevOps.
Map Docker’s architecture: CLI <-> daemon (REST), images, containers, networks, volumes, registries.
Install Docker on Windows/macOS/Linux, enable non-root usage, and verify with clean health checks.
Build small, secure images using Dockerfiles, caching, .dockerignore, and multi-stage builds.
Run and manage containers: run, logs -f, exec, lifecycle (start/stop/restart/rm), and resource limits.
Connect services with user-defined networks and embedded DNS; publish ports safely.
Persist state with named volumes and bind mounts; fix common permission issues.
Orchestrate multi-container stacks with Docker Compose: env files, healthchecks, restart policies, scaling.
Follow an end-to-end Build -> Tag -> Push -> Run workflow with Docker Hub or a private registry.
Course layout
Introduction to Docker & Containers
Docker Architecture (client/daemon, OCI, containerd/runc)
Installation (clean setup, non-root, autostart)
Deep Dive: Containers (interactive vs. detached, logs, exec, limits)
Deep Dive: Images & Registry (tags, Hub/private, local registry)
Deep Dive: Networks (bridge, host, DNS discovery, publishing ports)
Deep Dive: Volumes (named vs. bind, RO, backups)
Deep Dive: Docker Compose (compose.yaml, scale)
Commands & Lab Environment (repeatable practice, cleanup)
AI use: Parts of this course were created with AI tools (e.g. text-to-speech voiceover) and thoroughly reviewed, tested, and edited by the instructor for accuracy and clarity.