
Explore containerization by building lightweight, portable containers that bundle code, dependencies, and runtime essentials. Learn how containers run consistently across environments with Docker, optionally orchestrated by Kubernetes.
Discover Docker’s benefits—lightweight and fast start-up, portable build-once-run-anywhere images, scalable isolation, and CI/CD friendly workflows with versioned tags.
Explore docker image management with tags, removal, and the essential inspect command. Learn to retrieve detailed image metadata such as the image ID, creation date, size, and configuration.
Learn to manage docker images with tagging, removing, and inspecting commands, including tagging to a specific name, and inspecting image id, tags, digest, architecture, and size.
Use docker help to view all commands and options in the command line interface for documentation, and use docker manual to access detailed synopsis, description, and options for deeper learning.
Name a docker container for clarity, then run it in background with a name using docker container run -d, and inspect for ID, state, ports, and IP and MAC addresses.
Attach a background container to the foreground using the docker attach command to view real-time output and interact with its running process.
Identify dangling images as untagged, unused image layers and learn how docker image prune removes them to free space for deployment and keep environments clean.
Demonstrate docker restart policies by running a container that exits on failure and restarts three times with on-failure, a sample script, dockerfile, using docker run, docker ps, and docker inspect.
Explore port mapping to expose a docker container externally by linking host ports to container ports with docker run -p, including mapping host 8080 to container 80.
Learn to automatically remove a container after completion by using docker run --rm, preventing exited containers from occupying memory, as demonstrated with a hello world example.
Learn to create a Dockerfile with from, workdir, and copy commands; build and run images, exploring relative and absolute paths, contexts, and tags.
Explore the difference between entrypoint and cmd in docker, showing how entrypoint runs a fixed command while cmd provides arguments, with practical examples using ubuntu, echo hello world, and sleep.
Learn how the docker file expose command declares container ports and when -p maps them to the host, making the container accessible from outside.
Compare copy and add in Docker, showing how add handles external URLs and zip or tar archives, then build a Dockerfile using Ubuntu and view files in /app.
Learn how to implement a practical docker multi-stage build with node.js, building a two-stage workflow from dependency installation to a lightweight production image and running on port 3000.
Explore bind mounts by creating a host directory and mounting it into a container, compare with docker volumes, and use for development and testing with common files.
Create a Dockerfile using the Ubuntu image to install ip utils and net tools for ifconfig and ping, then build and run the image for networking tasks.
Explore the new docker compose format, including optional version removal, file naming options (compose.yml, compose.xml), project naming, and the unified docker compose commands like docker compose up.
Set up a Node.js web page with a Redis database using docker compose. Create a Dockerfile and compose.yml, expose port 3000, and run the multi-container app.
Welcome to the Docker & Amazon ECS Masterclass, a complete hands-on bootcamp designed to make you an expert in containerization, orchestration, and real-world DevOps deployment workflows.
This course is a powerful bundle of two industry-proven programs —
Docker Mastery and Amazon ECS Mastery — carefully combined to give you an end-to-end understanding of how modern applications are built, containerized, and deployed at scale using AWS.
Whether you’re a developer, DevOps engineer, or cloud architect, this bundle will take you from the basics of containers to managing production workloads on Amazon ECS with confidence.
What You’ll Learn
Docker Mastery Section
Understand containerization and how Docker simplifies deployments
Build and manage Docker images and containers
Work with Docker CLI, Dockerfiles, and Docker Compose
Manage multi-container applications
Push and pull images to Docker Hub or private registries
Network containers for scalable microservices
Integrate Docker with CI/CD pipelines
Amazon ECS Mastery Section
Understand ECS architecture: tasks, services, and clusters
Work with EC2 and Fargate launch types
Create and deploy containers on AWS ECS
Configure Load Balancers, Target Groups, and Auto Scaling
Use ECS Service Discovery and Service Connect for inter-service communication
Automate ECS deployments using CloudFormation and Terraform
Integrate ECS with CI/CD and monitoring tools
Start Your DevOps Journey Today
Join thousands of learners mastering the art of containerization and orchestration — and take your Docker and ECS skills to the next level.
Enroll now and become a Cloud-Ready DevOps Engineer!