Certified Kubernetes Application Developer (CKAD)

Duration: 5 Days
Delivery methods:   Classroom, Virtual Learning, Onsite Event
Price per delegate: $2,395.00
Trained over 60000 delegates
Delivered by world class instructors
Highly competitive pricing
Capped class sizes
Post course support

Course Description

This class prepares students for the Certified Kubernetes Application Developer (CKAD) exam. Kubernetes is a Cloud Orchestration Platform providing reliability, replication, and stability while maximizing resource utilization for applications and services. By the conclusion of this hands-on training, you will go back to work with all necessary commands and practical skills to empower your team to succeed, as well as gain knowledge of essential concepts like Kubernetes architecture and container orchestration. We prioritize covering all objectives and concepts necessary for passing the Certified Kubernetes Application Developer (CKAD) exam. You will command and configure a high availability Kubernetes environment (and later, build your own!) capable of demonstrating all “K8s’’ features discussed and demonstrated in this course. Your week of intensive, hands-on training will conclude with a mock CKAD exam that matches the real thing.

Target Student

  • Anyone who plans to work with Kubernetes at any level or tier of involvement
  • Any company or individual who wants to advance their knowledge of the cloud environment
  • Application Developers
  • Operations Developers
  • IT Directors/Managers

Course Objectives

All topics required by the CKAD exam, including:

  • Deploy applications to a Kubernetes cluster
  • Use Kubernetes primitives to implement common deployment strategies (e.g. blue/green or canary)
  • Define, build, and modify container images
  • Implement probes and health checks
  • Understand multi-container Pod design patterns (e.g. sidecar, init, and others)
  • Understand ConfigMaps
  • Create & consume Secrets
  • Troubleshooting and debugging tools
  • Provide and troubleshoot access to applications via services
  • Use Ingress rules to expose applications

Course Content

AI LLM Toolkit

  • Lecture + Lab: Large Language Model toolkit for AI Solution Assistance

From Containers to Kubernetes

  • Lecture: Kubernetes Architecture
  • Lecture + Lab: Define, build, and modify container images
  • Lecture: Pods and the Control Plane
  • Lecture: Kubernetes the Alta3 Way
  • Lecture + Lab: Deploy Kubernetes using Ansible

Pod Basics

  • Lecture: YAML
  • Lecture: Manifests for Pods
  • Lecture + Lab: Create and Configure Basic Pods
  • Lecture: API Versioning and Deprecations

Cluster Basics

  • Lecture: Namespaces and Fundamental Kubectl Commands
  • Lecture + Lab: Creating and Configuring Namespaces
  • Lecture: Kubectl get and sorting
  • Lecture + Lab: Listing Resources with kubectl get

Container Health, Security, and Observability

  • Lecture: Kubectl port-forward
  • Lecture + Lab: Kubectl port-forward
  • Lecture: Kubectl exec and cp
  • Lecture + Lab: Performing Commands inside a Pod
  • Lecture: Readiness and Liveness Probes
  • Lecture + Lab: Implement Probes and Health Checks
  • Lecture: Pod Security Contexts
  • Lecture + Lab: Applying Security Contexts

Resource Management

  • Lecture: Limits, Requests, and Namespace ResourceQuotas
  • Lecture + Lab: Defining Resource Requirements, Limits and Quotas
  • Lecture + Lab: Kubectl Top and Application Monitoring
  • Lecture: Admission Controller
  • Lecture + Lab: Create a LimitRange AdmissionController


  • Lecture: Role-Based Access Control
  • Lecture + Lab: Service Accounts
  • Lecture: Contexts
  • Lecture + Lab: Cluster Access with Kubernetes Context


  • Lecture: Utilize Container Logs
  • Lecture + Lab: Kubectl Log Command
  • Lecture: FluentD and RsysLog

Ephemeral Storage

  • Lecture: ConfigMaps and Volume Mounting
  • Lecture + Lab: Persistent Configuration with ConfigMaps
  • Lecture: Secrets
  • Lecture + Lab: Create and Consume Secrets

Persistent Storage

  • Lecture: Persistent Volumes, Claims, and StorageClasses
  • Lecture + Lab: Using PersistentVolumeClaims for Storage
  • Lecture: Persistent Volumes with CSI
  • Lecture + Lab: CSI Storage Solution: NFS

Multi-Container Pod Design

  • Lecture: Multi-Container Pods
  • Lecture + Lab: Configuring a Fluentd Logging Sidecar
  • Lecture: Init Containers
  • Lecture + Lab: Using Init Container for Pod Initialization


  • Lecture: Labels
  • Lecture + Lab: Labels and Selectors
  • Lecture: Annotations
  • Lecture + Lab: Insert an Annotation
  • Lecture: ReplicaSets
  • Lecture + Lab: Create and Configure a ReplicaSet
  • Lecture: DaemonSets
  • Lecture: Deployments - Purpose and Advantages
  • Lecture + Lab: Create and Configure a Deployment
  • Lecture: Deployments Rollout
  • Lecture + Lab: Performing Rolling Updates and Rollbacks
  • Lecture: Blue/Green and Canary Deployment Strategies
  • Lecture + Lab: Advanced Deployment Strategies
  • Lecture: Deployments - Horizontal Scaling
  • Challenge: Horizontal Pod Autoscaler

Jobs and CronJobs

  • Lecture: Jobs and CronJobs
  • Lecture + Lab: Running and Executing a Job
  • Lecture + Lab: Scheduling a CronJob

Affinity and Anti-Affinity

  • Lecture: Taints, Tolerations
  • Lecture + Lab: Tainted Nodes and Tolerations


  • Lecture: NetworkPolicy
  • Lecture + Lab: Network Policy Basics
  • Lecture + Lab: Namespace Network Policy

Services and Ingress

  • Lecture: Networking with Services
  • Lecture + Lab: Expose Applications via Services
  • Lecture: Networking Plugins
  • Lecture: Ingress Controllers
  • Lecture + Lab: Expose Applications via Ingress Controllers


  • Lecture: Hostnames and FQDNs
  • Lecture + Lab: Utilizing FQDNs

The Helm Package Manager

  • Lecture: Helm
  • Lecture + Lab: Deploy Existing Packages via Helm

Extending Kubernetes

  • Lecture: Custom Resource Definitions
  • Lecture + Lab: Introduction to CRDs


  • Lecture + Lab: Troubleshooting


  • Lecture: Tips to Pass your CKAD Exam!

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