Course Information

Docker Training Duration: 14 Hours

Docker Training Method: Classroom Training / Instructor Led Online Training

Docker Study Material: Soft Copy



This course is for complete beginners as well intermediate and expert users. There is no prior knowledge needed, but a dev/ops/cloud/Linux/networks background will definitely help.

The course optionally uses Kubernetes on AWS. If you want to learn more about AWS itself, you will need to read some AWS documentation or take another AWS course. The course only explains how to use Kubernetes on AWS, it doesn't explain how to use AWS itself. Still, all steps that you need to follow are explained in this course.


  • Students will receive the complete set of slides and recommendations for related papers and reference materials.
  • Additionally students will receive the recorded videos of the classes.


Instructor Led Online/Classroom Kubernetes Training

Flexible Time At Your Convenience

Over 1,00,000+ Professionals Trained Across 100 Countries

24x7 Live Support via Chat, Mail and Phone 

Corporate Training and On-Job Support

Course Content

Module I: Getting Started

  • World of Microservices
  • What is Docker?
  • Installing Docker
  • Docker Hub
  • Introduction to Kubernetes


Module II: Working with Docker

  • Deep Dive into Docker architecture
  • Running containers
  • Creating Images using Docker
  • Managing Ports with container deployment
  • Introduction to YAML


Module III: Kubernetes Setup & Configuration

  • Packages and Dependencies 
  • Install and Configure Master Controller 
  • Install and Configure the Minions 
  • Kubectl: Exploring our Environment 
  • Installing Kubernetes - Master Server 
  • Installing Kubernetes - Minions / Nodes


Module IV: Pods, Tags and Services

  • Create and Deploy Pod Definitions
  • Tags, Labels and Selectors
  • Deployment State
  • Multi-Pod (Container) Replication Controller
  • Create and Deploy Service Definitions
  • Creating Pod Definitions
  • Labeling Your Pod Definition


Module V: Logs, Scaling and Recovery

  • Creating Temporary Pods at the Command line
  • Interacting with Pod Container
  • Logs, Autoscaling and Scaling our Pods
  • Failure and Recovery
  • Running a Command in Your Pod Containers

Online Job Support

If you are facing any problem in performing your Kubernetes task assigned to you then MaxMunus is just a Call/E-mail away to help you. We provide Kubernetes Online Job Support for professionals to help them perform their Kubernetes task very smoothly and efficiently. 

The Process we follow for our Online Job Support Service:

  • We receive your enquiry for Online Job Support.
  • We will arrange a conference call with our consultant to understand your complete requirement and the tools you are using.
  • If our consultant is 100% confident in taking up your requirement and when you are also comfortable with our consultant, then only we will agree to provide service and you have to make the payment to get the service from us.
  • We will fix the timing for the Online Job Support as mutually agreed by you and our consultant.

Request For Demo