This four-day specialist training covers the core skills required to build, configure, and manage Kubernetes clusters in production environments. Participants will learn to handle cluster networking, application deployment, storage, security, monitoring, troubleshooting, and high availability using vendor-independent tools.
The course is an excellent preparation for the Certified Kubernetes Administrator (CKA) exam.
Linux administration and CLI proficiency
Familiarity with containers (Docker, images, volumes, networking)
Ability to edit files in CLI editors (vi, nano, etc.)
Basic understanding of YAML and cloud-native concepts
IT administrators and system engineers
DevOps professionals
Cloud-focused professionals starting Kubernetes careers
Anyone managing containerized infrastructure
Install a multi-node cluster with kubeadm
Configure and grow clusters with proper networking
Manage application lifecycle: scaling, updates, rollbacks
Secure clusters and pods with RBAC, Admission Controllers, Network Policies
Configure persistent storage (Persistent Volumes, ConfigMaps, Secrets)
Monitor, log, and troubleshoot containers and clusters
Automate deployments with Helm & Charts
Implement federation and high availability clusters
Linux Foundation overview
CNCF governance
Lab setup
Define Kubernetes, cluster structure
Adoption and CNCF governance
Lab: First Kubernetes pod
Minikube, kubeadm, alternative tools
Lab: Multi-node installation
Control Plane & Worker Nodes
Networking fundamentals
Lab: Configure cluster networking
kubectl & API integration
Swagger & OpenAPI
Lab: API-driven pod creation
v1 group, RBAC APIs
Lab: Role-based access
Deployments, ReplicaSets, DaemonSets, Labels
Lab: Deployment lifecycle
Persistent Volumes, ConfigMaps, Secrets, Rook
Lab: Data persistence
Service overview, DNS access
Lab: Service exposure
Helm basics, Helm Charts
Lab: Automating deployments
Ingress controllers, rules, Service Mesh
Lab: Configure Ingress
Scheduler policies, affinity, taints, tolerations
Lab: Scheduling exercises
Logs, monitoring plugins
Troubleshooting methodology
Lab: Debugging pods & clusters
CRDs, Aggregated APIs
Lab: Custom resources
Authentication & Authorization
Admission controllers
Pod Security & Network Policies
Lab: Security use cases
Stacked & external DB architectures
Lab: HA cluster setup
Domain review for CKA exam
Cilium network plugin overview
Evaluation & feedback
Experience live, interactive learning from the comfort of your home or office with Bilginç IT Academy's Online Instructor-Led Kubernetes Administrator (CKA) Training in Global. Engage directly with expert trainers in a virtual environment that mirrors the energy and schedule of a physical classroom.
Immerse yourself in our most sought-after learning style for Kubernetes Administrator (CKA) Training in Global. Our hand-picked classroom venues in Global offer an invaluable human touch, providing a focused and interactive environment for professional growth.
Streamline your organization's training requirements with Bilginc IT Academy’s Onsite Kubernetes Administrator (CKA) Training in Global. Experience expert-led learning at your own business premises, tailored to your corporate goals.
Join our public courses in our Global facilities. Private class trainings will be organized at the location of your preference, according to your schedule.
Our IT training and professional development services reach a global audience, transcending geographical boundaries through advanced digital learning platforms and strategic international hubs. We specialize in delivering world-class curriculum across continents, ensuring that no matter where you are located, you have access to the latest industry certifications and technical expertise. By partnering with global technology leaders and academic institutions, we provide a unified learning experience that meets the demands of a diverse, international workforce. Our commitment to global excellence ensures that professionals in every time zone can master the digital skills required to lead, innovate, and thrive in the ever-evolving global technology landscape.
