Docker Masterclass: From Zero to Production with Projects

Discover what containers are and how they package your application, dependencies, and runtime into a portable box. Learn why containers solve environment mismatches across development, QA, and production.

Understand the container life cycle from creation to removal, including created, running, paused, stopped, and removed states, and how Docker run, start, and stop commands drive behavior.

Explore how Linux namespaces and cgroups create container isolation, letting each container see its own processes, files, network, and users while controlling CPU and memory usage.

Discover how Docker simplifies creating, running, and managing containers with portable, standardized images, and how it accelerates deployments, enables DevOps and CI/CD, and complements virtual machines.

Explore Docker architecture, including the Docker client, daemon, and registry, and learn how images become containers, how Docker pulls from Docker Hub, and how this fits into a CI/CD workflow.

Explore the top seven docker use cases and how it fits devops and cloud, enabling unified environments, ci/cd, microservices, packaging, standardization, and testing multiple versions.

Install Docker on Linux (Ubuntu) via an EC2 instance, including repository setup, installing Docker and the CLI, enabling the service, and configuring a non-root user, with macOS and Windows guidance.

Understand the differences between Docker CLI and Docker Desktop, and learn when to use each: production, automation, and CI/CD favor CLI, while Docker Desktop aids beginners with visual representation.

Master the docker command structure—command, option, and arguments—and learn image and container commands, including docker pull, docker images, docker run with -d and -p, and naming containers with --name.

Learn to use docker version and docker info to inspect the docker client and server, understand engine and api versions, contexts, and runtime details for production troubleshooting.

Master docker operational commands to manage containers, networks, and images, and apply production-ready workflows for building, deploying, and maintaining projects.

Explore docker restart policies—no, always, unless stop, and on failure—and learn how they auto-recover containers to maintain production uptime and support docker and kubernetes.

Master Docker restart policies through a hands-on session covering no, on-failure, always, and unless-stopped. Align these policies with a project-based workflow to ensure reliable container orchestration in production.

Discover how docker tags and versioning affect image selection, including latest versus specific versions, pulling nginx from docker hub, and how to manage dangling images for resource efficiency.

Define a docker container as a running instance of an image, a lightweight, isolated environment. Explain its life cycle and how containers differ from virtual machines using namespaces and cgroups.

Explore the container life cycle from image to running, including pulling nginx image, creating a container, and pausing, stopping, restarting, killing, and removing containers with Docker commands and inspection.

Understand how docker commit saves changes from a running container into a new image, including file edits and installed software, with emphasis on image layers and production workflows.

Demonstrate using docker commit to save a running nginx container as an image, then verify the changes via curl on port 8080.

Understand docker exec vs docker attach: docker exec creates a new process for safe debugging; docker attach connects to the main process and risks disrupting production.

Explore docker exec vs docker attach with an nginx container: pull the image, run in background, use interactive entry via exec or attach to observe behavior.

Discover how docker volumes persist data on the host after container deletion, enabling stateful apps over stateless ones; learn bind mount and named volume types.

Explore docker volumes hands-on with examples to strengthen practical skills for projects moving from zero to production.

Explore Docker networking to see how container one and container two communicate, how port mapping directs internet requests, and how the Docker engine creates isolation and networking options.

Demonstrate bridge network basics through hands-on testing of containers on the default bridge and a custom bridge, highlighting inter-container communication, isolation, and NAT behavior.

Learn how Docker's host network mode removes isolation by sharing the host network namespace, binding host ports directly, and offering direct host access with maximum performance.

Explore the Docker none network, isolating containers from all networks and IPs; run a container with no external access, connecting only to loopback for secure offline processing and testing.

Explore how a Dockerfile acts as a recipe to build a container image and automate environment setup. Understand the core instructions—from, run, copy, and cmd—for repeatable, production-ready containers.

Explore how a Dockerfile defines a base image and step-by-step instructions using from, expose, copy, and run, then build and run nginx containers with port mapping and volume mounting.

Explore the differences between cmd and entry point in dockerfiles with hands-on examples, noting cmd as an overridable default and entry point as an appended command.

Explore how Docker layers and caching speed image builds, with hands-on examples using Ubuntu and Node, and learn best practices like copying package.json before npm install to exploit cache.

Master dot docker ignore and build context to streamline Docker image builds. Exclude unnecessary files to speed up builds and reduce data sent to the Docker daemon.

Explore practical production dockerfile techniques: define base images with from, manage layers and cache, copy and add files, set env and labels, and run with proper users.

Master Docker Compose by learning YAML basics—indentation, spaces over tabs, data types, lists, maps, and environment variables—and avoid common configuration mistakes.

Learn to streamline your docker workflow by leveraging docker compose to replace lengthy commands. Build projects from zero to production with practical, project-based docker techniques.

Reduce Docker image size using multi-stage builds to streamline production-ready projects for faster deployment in any project.