Certified Kubernetes Application Developer (CKAD) Training

Certified Kubernetes Application Developer (CKAD) Certification Training Course Overview

The Certified Kubernetes Application Developer (CKAD) certification course is meant to ensure that certification holders have the information, skills, and capability to design, configure, and expose cloud-native applications for Kubernetes and conjointly perform the responsibilities of Kubernetes application developers. Hence, it conjointly assures that the Kubernetes Application Developer will use core primitives to make, monitor, and troubleshoot ascendable applications in Kubernetes.

At Koenig Solutions, we have a tendency to perceive that CKAD Certification is vastly valued by the organizations and it will facilitate the DevOps professionals to soar high within the career. Therefore, our industry expert trainers have specifically designed Certified Kubernetes Application Developer training to assist you in exhibiting your experience in Designing, Building, Configuring and Exposing cloud native applications for Kubernetes.

Learning Objectives

The Learning Path will prepare you to understand and demonstrate your knowledge in each of the general domains of the CKAD exam:

  • Core Concepts
  • Configuration
  • Multi-Container Pods
  • Observability
  • Pod Design
  • Services & Networking
  • State Persistence

Key Features of CKAD course Training is:

  • Training by the consultants of the domain.
  • In-depth information sharing on every domain of the communicating.
  • Custom created training accessible
  • Multiple practice papers supports to induce at home with the exam format.


Target Audience

  • This training course is specifically useful for Kubernetes cluster administrators
  • But, somebody fascinated by learning about operating with Kubernetes may be a part of this course


This course prepares you for Exam CKAD. Test your current knowledge on Qubits42

Certified Kubernetes Application Developer (CKAD) Training (Duration : 40 Hours) Download Course Contents

Live Online Training
Group Training 1700 Date On Request
1-on-1 Training (GTR) 1950
4 Hours
8 Hours
Week Days

Start Time : At any time

12 AM
12 PM

GTR=Guaranteed to Run
Classroom Training (Available: London, Dubai, India, Sydney, Vancouver)
Duration : On Request
Fee : On Request
On Request
Buy Flexi For Only $99 (Online Training Re-imagined)

Course Modules

Module 1: Core Concepts
  • Overview of Container Orchestration
  • Introduction to Kubernetes
  • Kubernetes Architecture
  • Design a Kubernetes Cluste
Module 2: Configuration
  • Discover and Use Resources that Extend Kubernetes (CRD)
  • Understand Authentication, Authorization and Admission Control
  • Understand ConfigMaps
  • Understand Security Contexts
  • Define an application’s resource requirements
  • Create and consume Secrets
  • Understand Service Accounts
Module 3: Multi Container Pods
  • Understanding Multi-Container Pods
  • Creating Multi-Container Pods
Module 4: Observability
  • Understand API Deprecations
  • Understand Liveness Probes and Readliness Probes
  • Understand container logging
  • Understand how to monitor applications in Kubernetes
  • Understand debugging in Kubernetes
Module 5: Pod Design
  • Define, Build and Modify Container Images
  • Use Kubernetes Primitives to Implement Common Deployment Strategies (e.g. Blue/Green or Canary)
  • Understand Deployments and how to perform rolling updates
  • Understand Deployments and how to perform rollbacks
  • Understand Jobs and CronJobs
  • Understand how to use Labels, Selectors, and Annonations
  • Use the Helm Package Manager to Deploy Existing Packages
Module 6: Services & Networking
  • Understand Services
  • ClusterIP
  • Ingress Networking
  • Basic understanding of NetworkPolicies
Module 7: State Persistence
  • Volumes
  • Persistent Volumes
  • Persistent Volume Claims
  • Using PV and PVC in PODs
  • Storage Classes
  • Stateful Sets
  • Storage in Stateful Sets
Download Course Contents

Request More Information

Course Prerequisites
  • Basic information of Linux operating system program line and file editing skills
  • Familiarity with employing programming languages like Python, Node.js, Go etc.
  • knowledge of Cloud Native application ideas and architectures