Docker Tutorial for Beginners | Learn Docker in 2 Hours (Full Course) | DevOps Training

Get started using Docker with this end-to-end beginners course with hands-on labs.

Practice Labs: https://kodekloud.com/p/docker-labs
KodeKloud Website: kodekloud.com

Subscribe to KodeKloud Youtube Channel:    / kodekloud  

Docker is an open platform for developers and sysadmins to build, ship, and run distributed applications, whether on laptops, data center VMs, or the cloud. In this course you will learn Docker through a series of lectures that use animation, illustration and some fun analogies that simply complex concepts, we have demos that will show how to install and get started with Docker and we have hands-on labs that you can access right in your browser.

Course Contents:
What are containers?
What is docker?
Why do you need docker?
Basic Docker Commands
How to Run a docker container
How to build your own docker image
Networking in docker
How to use docker compose
What is docker registry
How to deploy your own private registry.
Docker Engine and filesystems in depth
Docker for Windows and MAC.
Introduction to container orchestration
Docker swarm
Kubernetes.

This course introduces Docker to an Absolute Beginner using really simple and easy to understand lectures. Lectures are followed by demos showing how to setup and get started with Docker. The coding exercises that accompany this course will help you practice Docker commands and developing your own images using Dockerfiles and practice Docker Compose. You will be developing Docker files for different use cases right in your browser. This way you don’t really need to have your own environment setup to get some hands on practice. The coding exercises will validate your commands and Dockerfiles and ensure you have written them correctly.

And finally we have assignments to put your skills to test. You will be given a challenge to solve using the skills you gained during this course. This is a great way to gain a real life project experience and work with the other students in the community to develop a Dockerfile and get feedback for your work. The assignment will push you to research and develop your own Docker images.
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