Master containerization using Docker through lectures, practical demonstrations, quizzes, and hands-on coding exercises.
What you will learn
Getting started to Containerization
Deploy and Configure Docker on various platforms
Basic Docker Commands with Hands-On Exercises
Core Docker Objects – Image, Container, Network and Volume
Understand and Build Docker images using Dockerfiles – Hands-on
Build and Deploy Custom Python based application as Capstone Project
Getting started with Docker Compose
Understand and Build Application stack using Docker Compose Files
Why take this course?
Docker is an open platform that provides tools and solutions to package, build, and run containerized applications.
What’s in this course?
This Docker course, designed for everyone and provides a detailed overview of Docker essentials using a systematic and hands-on approach. It delves into fundamental Docker concepts and key concepts such as images, containers, volumes, networks, etc. You will also gain hands-on proficiency in creating optimized Dockerfiles for containerizing applications and learn how to use Docker Compose to run multiple containers. Each course topic includes lectures to clarify the concept, demonstrations to show it in action, and finally, an assignment to test your understanding and solidify your learning.
If you’re new to Docker, don’t worry—this course starts from the basics and builds on gradually to intermediate topics.
Legal Notice:
Docker® is a registered trademarks of Docker Inc. in the United States and other countries. This course is not certified, accredited, affiliated with, nor endorsed by Docker, Inc.
Course Structure:
- Lectures
- Demos
- Quizzes
- Assignments
Course Contents:
- Introduction to Docker
- Setting up Docker Engine
- Setting up Docker Desktop
- Understanding Docker Architecture
- Docker Documentation
- Docker Images
- Container Registries
- Docker Containers
- Building an Image with a Dockerfile
- Docker Networking
- Docker Volumes
- Multi-Stage Dockerfile
- Containerizing Applications (Sample Project using Python)
- Docker Compose
All sections in this course feature live demonstrations. Enrolled users are encouraged to set up their own Docker environment, engage in the exercises, and learn through hands-on experience!