Kubernetes Administrator (CKA) Certification Training Course
Length
4 days / 4 weeks
Price
$1,119 USD
Days
Mon - Fri
Why Choose This Course
Certified Kubernetes Administrator (CKA) is a hands-on, instructor-led course designed to help systems engineers, platform teams, cloud administrators, DevOps and SRE practitioners build, operate and troubleshoot production-grade Kubernetes clusters. The curriculum follows the current CKA exam domains and competencies, focusing on real-world cluster administration tasks across installation, upgrades, security hardening, networking, storage, scheduling and day-2 operations.
You will learn how to create and manage clusters using kubeadm, configure a highly available control plane, implement robust networking with service types, network policies and the Gateway API, and operate CoreDNS. The course also covers persistent storage with storage classes and CSI drivers, application lifecycle management with Deployments, DaemonSets and StatefulSets, and policy-driven security with RBAC, admission controls and Pod security. Helm and Kustomize are used to standardise add-on and workload deployments, while CRDs and operators introduce extensibility patterns commonly used in enterprise environments.
The training places strong emphasis on observability and resilience: you will practice kubectl-driven diagnostics, log analysis, metrics-based monitoring and common break–fix scenarios that mirror the CKA’s performance-based exam environment. By the end, you will be ready to apply Kubernetes administration skills on managed and self-managed platforms, improve the reliability of containerised workloads, and prepare effectively for certification without hype or unrealistic guarantees. A certificate of course attendance is included.
Prerequisites
- There are no formal prerequisites for this course.
Exam
Candidates can achieve this certification by passing the following exam(s).
- Certified Kubernetes Administrator (CKA) exam (code: CKA).
Books
Delivery
- Live virtual online training attend in real-time from anywhere
Skills Gained
- Install and bootstrap Kubernetes clusters with kubeadm and perform version upgrades
- Configure and operate a highly available control plane and etcd backup and restore
- Implement role-based access control, authentication, and admission controls
- Use Helm and Kustomize to deploy cluster add‑ons and standardise workloads
- Work with Pods, Deployments, DaemonSets, Jobs and CronJobs for application management
- Configure scheduling with node selectors, affinity/anti‑affinity, taints and tolerations
- Implement Services, Endpoints, Ingress and the Gateway API for traffic management
- Define and enforce NetworkPolicies; validate Pod‑to‑Pod and Pod‑to‑Service connectivity
- Configure CoreDNS and troubleshoot name resolution inside the cluster
- Provision storage classes and dynamic volumes; manage PVs and PVCs for stateful apps
- Secure images and workloads using secrets, service accounts and Pod security settings
- Monitor cluster and workload health; collect and interpret logs and metrics
- Diagnose and fix common issues across nodes, control plane components and workloads
- Extend clusters using CRDs and operators for day‑2 automation
- Apply autoscaling strategies for workloads and clusters based on resource metrics
Audience
- Kubernetes administrators and platform engineers
- Cloud and infrastructure administrators operating container platforms
- DevOps and SRE professionals supporting containerised applications
- Network and security engineers collaborating on Kubernetes operations
Course Schedule & Pricing
Choose the schedule that fits your life — all options include full course materials & certification support
Full-time immersion for rapid certification readiness.
Balance your career while you upgrade your skills.
Maximum flexibility for busy working professionals.
Outline
- Kubernetes architecture and component responsibilities
- Cluster provisioning with kubeadm; join, scale and upgrade procedures
- High availability control plane patterns and etcd snapshots/restore
- Access control: users, contexts, kubeconfig and RBAC
- Admission controls and policy guardrails
- Workload primitives: Pods, ReplicaSets, Deployments, DaemonSets, StatefulSets
- Application rollouts, rollbacks and surge strategies
- Job and CronJob patterns for batch and scheduled tasks
- Scheduling mechanics: priorities, preemption, affinity and topology spread
- Resource requests, limits and quota management
- Container configuration with ConfigMaps, Secrets and projected volumes
- Storage Classes, CSI drivers, PVs and PVCs for stateful workloads
- Service discovery with ClusterIP, NodePort and LoadBalancer
- Ingress controllers, Ingress resources and the Gateway API
- NetworkPolicies for segmentation and zero‑trust defaults
- CoreDNS configuration, troubleshooting and customisation
- Observability: logs, events, probes and metrics-driven health checks
- Troubleshooting clusters, nodes and control plane services
- Helm chart life‑cycle; packaging and promoting releases
- Kustomize overlays for environment-specific configuration
- CustomResourceDefinitions and operator patterns
- Cluster lifecycle management and backup strategies
- Best practices for security hardening across supply chain and runtime
Terms & Conditions
Frequently Asked Questions (FAQ's)
What does the CKA certification validate?
How is this course aligned to the exam?
Is prior Kubernetes experience required?
Our Partnership
Reliable certification testing is vital for validating professional skills in today’s tech-driven world. As a Pearson VUE Authorised Centre, we provide a secure environment for globally recognised IT exams. This partnership ensures convenient access to certifications with the highest standards of integrity and accuracy.
Our Accreditations
