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Certified Kubernetes Administrator Exam Training (Virtual Instructor-led Training)

> As per Stackrox, Kubernetes has taken significant market share away from other container management tools.

> Kubernetes is very popular with many companies because it offers portability, and faster, simpler deployment times.

> As per Payscale.com, the average salary for jobs involving Kuberbetes is $ 115,651

USD 399 USD 699

Course Overview

Certified Kubernetes Administrator (CKA) Training help trainees to prepare for the CKA Exam. This course provides an in-depth knowledge of Kubernetes, Configuring Kubernetes network, Using Kubernetes Controller, Securing, Monitoring and Troubleshooting Clusters.

Key Highlights

  • 21 Hours of Online Live Instructor-Led Classes. 
  • Weekend Classes : 7 sessions of 3 hours each
  • Crash Course of 9 sessions
  • Assessments
  • Lifetime access to LMS
  • 24 x 7 Expert Support
  • Certification
  • Community forum for our learners
  • No Exam Included

What You'll Learn

  • Learning the core concepts of Kubernetes
  • Learning to deploy a Kubernetes cluster
  • Learning to secure clusters using RBAC
  • Leverage Kubernetes Networking Concepts
  • Learning to monitor and visualize Cluster logs
  • Learning to troubleshoot Cluster failures


    • Delivery Format: Virtual Classroom Live
    • Location: Online
    • Access Period: 4 Weeks
    • Course Date: MAR 05 th
    • Course Time: 08:30 PM to 11:30 PM (EST)
    • Session: Weekdays
    • Total Class: FRI & SAT (8 Sessions)
    USD 399 USD 699
    • Delivery Format: Virtual Classroom Live
    • Location: Online
    • Access Period: 4 Weeks
    • Course Date: MAY 15 th
    • Course Time: 10:00 AM to 01:00 PM (EST)
    • Session: Weekdays
    • Total Class: SAT & SUN (8 Sessions)
    USD 399 USD 699

Career Benefits

  • Globally recognized certification
  • Better career prospects
  • Lucrative pay packages

Who Can Attend

  • Kubernetes cluster administrators
  • Cloud administrators
  • Software developers
  • System administrators
  • Linux administrators
  • Software engineers
  • Individuals seeking to work  as Kubernetes Administrators

Exam Formats

No exam included.

Course Delivery

This course is available in the following formats:

  • Virtual Classroom Live Duration: 21 Hrs

Related Courses

Course Syllabus

Kubernetes Services and Scheduling

Learning Objective: Learn to expose your application using different kinds of Services and understand the ins and outs of Pod Scheduling in your cluster.


  • Services and Controllers
  • Service Networking
  • Deploy and configure network Load Balancer
  • Primitives necessary for self-healing apps
  • Effects of resource limiting on pod scheduling
  • Configure Kubernetes Scheduler
  • Running multiple Schedulers


  • Deploy different kinds of services
  • Deploy and configure a network load balancer
  • Configure the Kubernetes scheduler
  • Run multiple schedulers

Kubernetes Controllers

Learning Objective: Learn the use of different Kubernetes controllers and set up traffic routing rules using Ingress.


  • ReplicaSet and ReplicationController
  • DaemonSets
  • Deployments
  • Rolling updates and Rollbacks
  • Scaling applications
  • Ingress


  • Deploy different ReplicationControllers
  • Use DaemonSets on nodes
  • Manage pod updates using Deployments
  • Use HPA for dynamic work-load management
  • Use Ingress controller and rules to manage network traffic

Persistent Storage in Kubernetes

Learning Objective: Learn to use persistent storage methods for stateful applications and hide sensitive information using ConfigMaps and Secrets.


  • PersistentVolume and PersistentVolumeClaim
  • Access modes for volumes
  • Primitives for PersistentVolumeClaim
  • Secrets and ConfigMaps in your pods
  • Storage classes
  • Headless services
  • StatefulSets


  • Deploy PersistentVolume and PersistentVolumeClaim
  • Use Secrets and ConfigMaps in your applications
  • Use StorageClass for dynamic storage allocation
  • Use stateful applications for sticky identities for pods
  • Deploy a highly available replicated MariaDB cluster

Securing the Cluster

Learning Objective: Learn how to secure the cluster using role-based access control (RBAC) and configure custom network policies for your pods.


  • Authentication
  • Authorization
  • Kubernetes security primitives
  • Configure Network Policies
  • Security Contexts


  • Create and use Roles and RoleBindings
  • Define custom Egress and Ingress policies
  • Use probes and configure a restart policy for pods
  • Define privilege and access control using security contexts

Logging and Monitoring the Cluster

Learning Objective: Monitor cluster and visualize cluster logs using Prometheus and EFK stack. Deploy jobs, manage the etcd cluster, and use Helm Charts to deploy applications.


  • Monitoring the cluster using Prometheus
  • Visualizing cluster logs using EFK stack
  • Jobs
  • ETCD operations
  • Helm Charts


  • Monitor cluster using Prometheus
  • Visualize logs using EFK stack
  • Deploy jobs to run tasks to completion
  • Manage etcd cluster
  • Use Helm Charts

Troubleshooting the Cluster

Learning Objective: Learn how to handle and troubleshoot common cluster failures.


  • Troubleshooting application failures
  • Troubleshooting cluster failures


What are the system requirements for this Training?

Any system with 4GB of RAM and a decent HDD with the latest version of Windows, Linux, or MacOS will be compatible . A Free Tier GCP account will be used in performing all the demos. Upskill Yourself will help you in setting up the required software. The Installation Guide for setting up the environment is available on the LMS.

What are the pre-requisites for this course?

  • Basic knowledge on Docker
  • Basic understanding Kubernetes concepts and commands
  • To help you brush up on the above mentioned skills, you will get self-paced content on these concepts as pre-requisites in your LMS.

Mike Williams, Direct Consultant