Certified Kubernetes Application Developer (CKAD) Online Training

Kubernetes application delivery can create risk when teams deploy inconsistent manifests, expose services without clear traffic controls, or troubleshoot production workloads without a shared operating model. IT Directors can assign this intermediate CKAD training to systems administrators, DevOps-oriented IT Practitioners, and application platform teams that already have orchestration fundamentals and need a common approach to building, configuring, exposing, and supporting cloud native apps on Kubernetes.

The visible curriculum totals about 41 hours, plus additional skills, so this is best treated as a multi-week enablement plan rather than a short refresher. Change management should account for coordination across application, platform, networking, and storage owners: the course covers ConfigMaps, Secrets, probes, scheduling controls, rolling updates, GitOps, ingress, DNS, TLS, quotas, persistent volumes, StatefulSets, and Longhorn storage. CBT Nuggets Playlists can sequence the rollout by role, Practice Exams can support CKAD readiness, Virtual Labs can reinforce hands-on skills where available, and Team Reporting helps Training Managers track progress across assigned learners.

IT teams complete this CKAD training to make Kubernetes application delivery more repeatable from build through production support. The course maps to real operational scenarios teams face when running cloud native workloads:

• Standardize deployment workflows: Teams practice linting manifests, adding linting to CI/CD pipelines, building container images with Shipwright, and deploying from GitHub Actions or GitOps workflows with ArgoCD.
• Reduce application downtime: Teams learn to use probes, health checks, rolling updates, init containers, resource controls, pod scheduling priorities, and multi-container pod patterns to improve workload reliability.
• Control exposure and access: Teams work with Services, Ingress, DNS, TLS, NetworkPolicy, ServiceAccounts, Secrets, and namespace quotas to support safer application access patterns.
• Support stateful and distributed workloads: Teams cover persistent volumes, StatefulSets, Longhorn storage, Traefik Mesh, monitoring, and debugging so IT Practitioners can troubleshoot Kubernetes applications with less escalation.

Knowledge

• Kubernetes primitive resources used to deploy and configure applications.
• How ConfigMaps, Secrets, ServiceAccounts, quotas, and NetworkPolicy affect application behavior and access.
• Scheduling concepts including taints, PriorityClass resources, init containers, and pod resource consumption.
• Traffic patterns using Services, Ingress, DNS, TLS, and highly available application exposure.
• Storage concepts for persistent volumes, StatefulSets, and Longhorn-backed workloads.
• CKAD exam-relevant workflows for cloud native application design, configuration, and exposure.

Ability

• Deploy application pods, Jobs, CronJobs, multi-container pods, and serverless workloads with Knative Serving.
• Build, lint, and validate Kubernetes manifests, including CI/CD linting workflows.
• Configure application rollouts, probes, health checks, and rolling updates to support reliable releases.
• Implement GitOps-based deployment workflows with ArgoCD and deploy to Kubernetes from GitHub Actions.
• Monitor and debug applications running on Kubernetes clusters.
• Expose, secure, and troubleshoot external application endpoints using Kubernetes networking resources.