
Learn Docker concepts for web development, including images, containers, networks, and volumes, and practice pulling from Docker Hub, creating images with a Dockerfile, and deploying with Docker Compose.
Learn why Docker matters for web developers, set up Docker on AWS, master Linux commands, and explore images, containers, volumes, networks, ports, Docker Compose, and a web app in Docker.
Learn how Docker packages applications and dependencies into portable containers that provide isolation and consistent environments, enabling seamless local to live deployments for web developers.
Break the course into small chunks, study consistently, take one lecture at a time with hands-on practice, use resources, and experiment while adjusting video speed to stay consistent.
Understand key considerations before installing Docker across Windows, macOS, and Linux, including WSL2 on Windows, and how AWS provides a GUI setup before local installation.
Set up an AWS EC2 linux instance on the free tier, create a key pair, and connect via SSH from Mac or Mobaxterm. Learn region selection and using public IPs.
Install and configure docker on an ec2 linux instance, verify the installation, start the docker service, and run docker commands without sudo to manage containers.
Explore essential Linux commands PWD, CD, and LS on an AWS EC2 instance, learn to start and connect to an Ubuntu VM via SSH, and navigate directories.
Learn how to create files with the touch command, handle permissions with sudo and the root user, and edit or view content using vim and cat in Linux.
Use the which command to verify package installation, understand Linux packages, examine vim and docker examples, switch to the root user with sudo su, and view system users.
Explore essential EC2 start-up commands for DevOps, including checking command history, viewing OS details with /etc/os-release, and identifying private and public IPs using ip, curl, and ipconfig.
Explore docker's main building blocks: images, containers, ports, networks, and volumes, and learn how images provide a base operating system while containers run from them on EC2.
Learn to use Docker images by building your own or pulling pre-built images from Docker Hub, including the official Nginx image.
Learn how to run docker containers from images, map ports with -p, and manage running and stopped containers using docker ps -a and docker rm.
Learn how Docker ports map container port 80 to the host, and how AWS security groups manage inbound traffic to enable HTTP on port 80 and SSH on port 22.
Explore docker image tags to manage versions, learn that omitting a tag uses latest, and practice using specific tags like alpine:3.21.0 while understanding port and container isolation.
Learn why a container requires a continuous process to stay running and how to keep alpine containers active using docker run -it -d, docker ps, and docker stop.
Connect to a stopped docker container with docker exec -it, enter sh, and explore an alpine Linux filesystem by using ls, cd, mkdir, and touch, then exit with Ctrl-p q.
Install Docker Desktop on your local machine to manage images, containers, and volumes with a GUI, while using the CLI for deeper control.
Clone and run a simple node application from GitHub to verify Node.js and npm, install dependencies with npm install, and confirm it serves on port 8080 before dockerizing.
Learn how to build a custom docker image with a Dockerfile, using Alpine Linux as the base, copy code, install dependencies, expose a port, and run containers.
Build a custom alpine-based docker image by writing a dockerfile, install nodejs and npm, copy code, npm install, respect dockerignore rules, expose port 80, and run node app.js.
Build a docker file into a docker image using docker build -t myapp:latest . Then run with docker run, map host port 8080 to container, and verify via docker desktop.
Learn to analyze a running Docker container with Docker Desktop by viewing logs and details, inspecting the src filesystem, and using exec for interactive commands, including port bindings.
Learn to run multiple containers from the same Docker image by mapping unique host ports and using distinct container names, while understanding container isolation.
Docker volumes provide persistent storage for data used by containers, support mounting data into containers, and let multiple containers share the same data with isolation from images.
Discover how docker volumes provide persistent storage for container data, demonstrated by two isolated containers from the same image, and the importance of volumes to prevent data loss.
Docker volumes provide persistent storage for containers by running two isolated containers and comparing data persistence across restarts.
Explore docker networks, including bridge, host, and none, and learn how containers communicate by default on the bridge network, using hostnames for stable connectivity with a custom bridge network.
Explore docker networks, including bridge, host, and none, and learn to create a custom network for container-to-container communication using hostnames for stable connectivity.
Use docker compose to define a multi-container application in a YAML file, specifying images, networks, volumes, ports, and dependencies, then run or bring it down with one command.
docker compose defines and runs multi-container setups from a single docker-compose.yml, building images, mapping ports, creating containers, and starting them with one command.
Deploy WordPress with Docker compose by defining two services, WordPress and MySQL, configuring environment variables and volumes, and using restart always, then bring containers up and complete installation.
Explore tips and tricks to use Docker more effectively for web development, with short video how-tos on networks, volumes, exporting files, and copying between container and host, including ports.
Learn to host and push your own images to Docker Hub by creating a repository, logging in, tagging images as username/repository:tag, and using docker push to upload and verify.
Explore how Docker environment variables enable secure, flexible configuration by avoiding hardcoded passwords and API keys, using the CLI, .env files, and Dockerfiles to tailor containers.
Copy files between a running nginx container and the host using docker cp, after locating index.html in /usr/share/nginx/html inside the container via docker exec. Verify changes in the browser.
Discover how Docker captures container output as logs to diagnose startup messages, errors, and exceptions. Use Docker logs to view live logs from Nginx and other containers.
Explore how to use the docker help system to troubleshoot issues and learn more about docker commands, flags, and features such as run, pull, push, login, compose, and images.
Are you a web developer who has never used Docker before? Want to simplify your development, testing, and deployment process? This course is for you.
Docker for Web Developers is a hands-on, practical course designed to help web developers like you learn Docker from scratch—no DevOps experience needed. Whether you work with PHP, Node.js, Python, or any other web stack, this course will show you how to use Docker to build and manage reliable development environments that mirror production.
This course is not only about theory, as how Docker works, it includes hands-on demos of each concept discussed in this course so that you can get a good grasp of all the key concepts required to use Docker.
You’ll start with the basics of containers and images, then move on to running real-world web applications using Docker and Docker Compose. You'll learn how to containerize different services, how they work together, and how to connect them seamlessly. By the end, you'll also know how to deploy your containerized app.
What you'll get:
A clear understanding of Docker concepts with real-world examples
Step-by-step guidance to containerize your own web projects
Docker Compose for multi-service applications
Tips for debugging and managing containers effectively
Hands-on tips and tricks
By the end of this course, you’ll be confident using Docker in your daily workflow—saving time, avoiding conflicts, and building more reliable applications.