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Mastering Docker: Practical & Hands-On [2025 Edition] | Udemy
English | Size: 260.58 MB
Genre: eLearning[/center]

Blueprint for Docker: Build, run, and ship production-ready containers - ideal for beginners and experienced engineers!

What you'll learn
Beginner level introduction to Docker and Containers
Understand Docker Architecture (client/daemon, images, containers, registries, networks, volumes)
Build, Ship and Run applications as Containers
Installing Docker correctly, crafting efficient images, wiring secure networks, persisting data with volumes and orchestrating
Orchestrate multi-container applications using Docker Compose for reproducible dev environments
Basic Docker Commands with Hands-On Exercises
Follow an end-to-end Build → Ship → Run workflow through guided commands.

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.

Who this course is for:
Beginners with no prior experience in Docker or DevOps-start from first principles.
Practitioners in DevOps, Cloud, SRE, Software Development, or QA who want to adopt modern, container-first workflows with Docker.
Students and career changers seeking a practical, job-ready Docker skill set for interviews and their next role.

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