Mastering Docker for DevOps Newbies 2026

In this lecture, you will learn what a container is, how it works, and how it differs from traditional virtual machines. By the end of this lecture, you will understand the key benefits of containers, including their consistency, lightweight nature, speed, and portability. This knowledge will equip you to start working with Docker containers effectively and sets the stage for installing Docker Desktop in the next lecture.

In this lecture, you'll learn how to download and install Docker Desktop on your system. We'll guide you step-by-step, verify the installation, and ensure Docker is up and running smoothly.

In this lecture, we learned that Docker Images are static blueprints that define the setup for an application, while Docker Containers are running instances of those images. Images are immutable and stored on disk, whereas containers are dynamic and run in memory. Understanding these key differences is crucial for working effectively with Docker.

In this lecture, we learned how to create a Docker image using a Dockerfile, build it, and run a container from that image. The Dockerfile defined the image for a simple Python application, which we then built and executed in a container. We also covered verifying the container's status and concluded by discussing the steps involved in building and running containers.

In this lecture, we learned how to manage Docker images and containers effectively. We covered listing, stopping, and removing containers, as well as removing unused images. Additionally, we explored inspecting images and containers for detailed information and using the docker system prune command to clean up unused resources.

In this lecture, you will learn simple Dockerfile best practices and understand how to write clean and efficient Dockerfiles.

In this lecture, we explore Docker Hub, a cloud-based registry for sharing and storing Docker images. Learn how Docker Hub helps users find pre-built images and share custom images. We also cover image versioning, tags, and how to pull images from Docker Hub.

In this lecture, we cover the process of pushing a custom Docker image to Docker Hub. Learn how to create a Docker Hub account, log in via the terminal, properly tag your images, and push them to your Docker Hub repository. We also discuss private repositories and the default public settings.

In this lecture, you'll learn about Docker Port Binding and how to access applications inside containers from your local machine. You’ll understand the importance of port mapping and how to use the -p option to bind container ports to local ports. After watching this lecture, you'll be able to:

• Pull and run Docker containers.

• Bind container ports to local ports for external access.

• Verify port binding using the browser and container logs.

By the end of this lecture, you'll have a solid understanding of how to manage port binding in Docker for containerized applications.

In this lecture, you'll learn how to use Docker Volumes to persist data across container restarts and share data between containers. By the end, you'll be able to create, modify, and manage volumes in Docker.

In this lecture, you will learn about Docker networks, including different types of networks and their use cases. By the end, you will be able to create custom networks and enable communication between containers.

In this lecture, You will learn to use Docker Compose to manage multi-container applications. You will create a simple web app with Nginx and Redis, define services in a YAML file, and manage containers efficiently.

In this final lecture, You will learn how to deploy a real-world application using Docker Compose. You will set up WordPress with MySQL and phpMyAdmin, leveraging custom networks and volumes for data persistence. By the end, You will be able to manage multi-container applications and ensure seamless communication and data backup.