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Kubernetes Certification

Certified Kubernetes Administrator (CKA)

  • Live instructor-led course
  • Internship with live projects
  • Industry-relevant curriculum
  • Online and Offline training available
  • Placement support until you get placed

The Certified Kubernetes Administrator (CKA) course is designed to provide participants with the skills and knowledge needed to effectively manage and operate Kubernetes clusters.

  • Intermediate
  • English
  • 40 hours
Course Overview

The Certified Kubernetes Administrator (CKA) course covers the core concepts, architecture, and networking of Kubernetes, along with advanced topics such as security, storage, and troubleshooting.

Participants will gain hands-on experience in deploying, configuring, and maintaining Kubernetes clusters, ensuring they are well-prepared for the CKA certification exam.

By completing this course, participants become proficient in Kubernetes administration and are ready to handle real-world scenarios effectively.

What you’ll learn
  • Understand Kubernetes Architecture
  • Deploy and Manage Applications
  • Monitor and Troubleshoot Clusters
  • Ensure Cluster Security
  • Implement Networking and Storage
  • Perform Cluster Maintenance
  • Configure and Validate Kubernetes Deployments
Role-Based Access Control (RBAC) - Configure and manage RBAC for users and service accounts.
Prepare Underlying Infrastructure - Provision and configure compute, networking, and storage for Kubernetes installation.
Create and Manage Clusters with kubeadm - Install and configure Kubernetes clusters using kubeadm commands.
Cluster Lifecycle Management - Upgrade, scale, and maintain Kubernetes clusters throughout their lifecycle.
Highly Available Control Plane - Design and configure an HA control plane with multiple masters.
Helm and Kustomize - Use Helm charts and Kustomize for installing and managing cluster components.
Extension Interfaces - Understand and configure CNI, CSI, and CRI interfaces for cluster extensibility.
Custom Resource Definitions and Operators - Install, configure, and manage CRDs and Kubernetes Operators.
Pod Connectivity - Understand communication and routing between Pods in the cluster.
Network Policies - Define and enforce network isolation and access rules using NetworkPolicies.
Service Types and Endpoints - Configure ClusterIP, NodePort, and LoadBalancer services, and understand endpoints.
Gateway API and Ingress Traffic - Use the Gateway API and Ingress controllers to manage external access to applications.
Ingress Controllers and Resources - Deploy and manage ingress controllers and ingress resources for HTTP/HTTPS routing.
CoreDNS - Configure and troubleshoot CoreDNS for service discovery within the cluster.
Application Deployments - Understand deployments, rolling updates, and rollbacks.
ConfigMaps and Secrets - Configure and manage application settings securely using ConfigMaps and Secrets.
Workload Autoscaling - Implement Horizontal and Vertical Pod Autoscaling for workload efficiency.
Self-Healing Applications - Use readiness probes, liveness probes, and controllers for self-healing workloads.
Pod Admission and Scheduling - Configure scheduling constraints such as limits, taints, tolerations, and node affinity.
Storage Classes and Dynamic Provisioning - Create and configure storage classes to enable dynamic provisioning.
Volume Types, Access Modes, and Reclaim Policies - Understand different volume types, their access modes, and reclaim policies.
Persistent Volumes and Claims - Create, bind, and manage persistent volumes and persistent volume claims.
Cluster and Node Troubleshooting - Identify and fix issues with cluster and node operations.
Control Plane Components - Troubleshoot control plane components such as API server, etcd, and controller-manager.
Monitoring and Resource Usage - Monitor resource utilization and identify performance bottlenecks.
Container Output Streams - Manage and evaluate container logs and output streams for diagnostics.
Services and Networking Troubleshooting - Diagnose and resolve connectivity and networking issues in the cluster.
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Amalkumar G

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Junior Cloud Engineer
Frequently Asked Questions

Basic knowledge of Linux and containerization is recommended.

No, the course fee does not include the exam fee.

The course uses Kubernetes and related tools like kubeadm.

The course uses a combination of theoretical lectures and hands-on lab sessions.

Yes, mentorship is available for personalized guidance and support.
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