Docker Containers For Beginners in DevOps (Hands-on Course)

A simple Docker Container tutorial and hands-on course for busy professionals and absolute beginners in DevOps
Rating: 4.3 out of 5 (555 ratings)
17,008 students
Docker Containers For Beginners in DevOps (Hands-on Course)
Rating: 4.3 out of 5 (555 ratings)
17,008 students
Install Docker Engine on your Laptop and run Docker Containers
Understand Docker Container Secrets
Build Docker Container Images for any applications
Publish Docker Images to the online Docker Hub Repository
Download Docker Images from Docker Hub Registry and run the application Docker Containers.
Create Persistent Storage Volumes in the host machine, and mount it inside any "stateful" Docker Containers
Perform Docker Container Life Cycle Management
Retrieve Container Logs for debugging. Login to a Docker container to execute commands and debug applications, alive.

Requirements

  • Basic Understanding on Linux
Description

A simple and easy to understand Docker Container tutorial and hands-on course for busy professionals and absolute beginners in DevOps.  This course was designed with DevOps Beginners in mind.  This Docker course full of demos and lab exercises.

Docker is the most popular container engine.  Docker is also the most popular application packaging and runtime format.  We have designed this  course on Docker Containers for Beginners with simple and easy to understand examples.


What you'll learn from this course on Docker Containers:

  1. What is the need for Virtual Machines and Containers

  2. What is a Virtual Machine

  3. What is a Container

  4. Difference between Virtual Machines and Containers

  5. How Containers are better than Virtual Machines

  6. What is a Docker Container

  7. How to run a simple web server Docker Container

  8. How to build a Docker Container Image - 2 methods

  9. How to upload/download the Docker Container Images from the Docker Hub Repository

  10. How to run stateful applications

  11. How to configure persistent storage volumes

  12. How to use persistent storage volumes for a Backend DB application like MySQL or MongoDB

  13. How to run multi-container applications using Docker Compose

  14. How to simplify Develop and Test Engineer Workflow using Docker Compose

  15. Learn what happens under the hood in a Docker Container

  16. Learn some of the little known Docker Container Secrets

  17. Learn Linux Kernel Virtualization Primitives.

Please note:

This course is covered by Udemy 30 day money back guarantee.

Who this course is for:
  • Software Developers, Application Developers, Software Test Engineers, Managers, DevOps Engineers, IT admins, Anyone who's interested in learning Docker Containers
Course content
7 sections • 19 lectures • 1h 45m total length
  • Course Introduction
    02:38
  • Need for Containers
    07:38
  • Introduction to Virtual Machines and Docker Containers
    10:09
  • Quiz #1
    3 questions
  • Docker Installation on Linux
    05:33
  • Docker Basic Commands
    11:57
  • Manual Method
    09:43
  • Assignment #1
    1 question
  • Dockerfile Method
    07:19
  • Persistent Storage Volumes
    01:49
  • Persistent Storage Volumes - Demo
    12:47
  • Docker Compose
    08:30
  • Workflow Automation
    03:34
  • Linux Kernel Virtualization Primitives
    04:20
  • Linux Filesystem Namespace
    00:52
  • Linux Filesystem Namespace - Demo
    04:16
  • Linux Process Namespace
    02:02
  • Linux Process Namespace - Demo
    04:26
  • Linux Network Namespace
    01:04
  • Linux Network Namespace - Demo
    06:55
  • Bonus Lecture
    00:01

Instructor
Senior Technical Architect
Ganesh Velrajan
  • 4.2 Instructor Rating
  • 824 Reviews
  • 19,022 Students
  • 2 Courses

Ganesh Velrajan has 16+ years of experience working for various silicon valley technology companies including Cisco Systems.

He has architected many complex software systems at Cisco and Other Silicon Valley companies.

In the past, he has trained software engineers on various technologies and softwares that Cisco develops.

He also runs a MeetUp group to educate his audience on the latest in Cloud and DevOps Technologies.

He is also the principal research analyst at EthernetResearch, a tech industry research firm.