☸️DevOps & Cloud

Kubernetes Administrator (CKA) Training

Kubernetes architecture, cluster installation (kubeadm), storage volumes, CNI networking, RBAC security, and real-time troubleshooting.

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4.9 (Live Project Training)

Why This Program Stands Out

  • ✓Instructor-Led Live Training with Real-Time Production Labs
  • ✓Hands-on practice across Linux, Docker, Kubernetes, CI/CD, AWS & Terraform
  • ✓Job-Ready Portfolio Building & Resume Optimization
  • ✓End-to-end support from Learning -> Live Projects -> Interviews -> Job Placement
Real-World Projects Included⚙️
☸️

Kubernetes Administrator (CKA) Training

Hands-on Practice & Production Workflows

Duration
6 - 8 Weeks
Format
Live Online Labs

Our Secret Sauce for Exam and Career Success

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Training Mode & Deliverables

Live, 1-to-1, or corporate · Recordings & live labs

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Comprehensive Masterclass

Exam-ready + job-ready in one program

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Flexible Learning Options

Your pace · 24/7 access · Mentor support

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Lifetime Support

Resources, resume & interview prep, placement assistance

Learn DevOps Through Hands-On Practice

Build practical technology skills through instructor-led training, hands-on labs and real-world projects across DevOps, cloud, Kubernetes and AI. Rather than learning isolated command syntax from pre-recorded videos, you build end-to-end continuous integration and continuous delivery (CI/CD) pipelines, orchestrate microservices, and manage resilient cloud infrastructure hands-on.

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What You'll Learn

✓Bootstrap multi-node production Kubernetes clusters using kubeadm and custom CNI network plugins.
✓Configure PersistentVolumes, StorageClasses, and StatefulSets for database workloads.
✓Manage ingress controllers, TLS certificates, CoreDNS, and network policies.
✓Enforce Role-Based Access Control (RBAC), ServiceAccounts, and Security Contexts.
✓Troubleshoot broken control planes, worker nodes, crash-looping pods, and network failures under timed pressure.

DevOps Tools & Technologies

🛠️ Kubernetes🛠️ Kubeadm🛠️ kubectl🛠️ Docker🛠️ Calico CNI🛠️ NGINX Ingress🛠️ Helm🛠️ etcd

Course Curriculum

Module 1: Kubernetes Architecture & Control Plane Components

etcd, kube-apiserver, kube-scheduler, kube-controller-manager, and kubelet.

Module 2: Cluster Deployment & Upgrades with Kubeadm

Provisioning multi-node clusters, worker join commands, and version upgrade strategies.

Module 3: Workload Scheduling, ConfigMaps & Secrets

Node affinity, taints & tolerations, resource quotas, and environment configuration.

Module 4: Production Storage, Volumes & StatefulSets

PV, PVC, Dynamic StorageClasses, local storage, and database statefulness.

Module 5: Kubernetes Networking, CNI & Ingress

Calico CNI, ClusterIP, NodePort, LoadBalancer, and NGINX Ingress Controller.

Module 6: Security, RBAC & Cluster Maintenance

Certificates API, RBAC rules, node maintenance (drain/uncordon), and ETCD backup/restore.

Module 7: Hands-on Troubleshooting & CKA Exam Simulation

Solving real-world production incident scenarios and timed exam labs.

Who Should Take This Training?

👥DevOps Engineers
👥Platform Engineers
👥System Administrators
👥Cloud Infrastructure Specialists

📋 Prerequisites

  • ✓Strong Linux CLI knowledge
  • ✓Understanding of Docker containerization
  • ✓Basic networking principles
  • ✓Familiarity with container networking

🎓 Training Format

Instructor-Led Live Online Sessions | 5 Weeks | Intensive Hands-on Labs

🏆 Certification Alignment: Certified Kubernetes Administrator (CKA) Exam Preparation & NexGenium Certificate

Projects & Practical Labs

Capstone Lab 1

Production High-Availability K8s Cluster Setup

Deploy a 3-node control plane HA cluster with etcd snapshotting and Calico networking.

Live Lab Execution
Capstone Lab 2

Stateful Database Deployment with Automated Backups

Configure a persistent PostgreSQL cluster using StatefulSets and volume snapshots.

Live Lab Execution

Frequently Asked Questions

Enroll in DevOps Training

Start Your DevOps Learning Journey

Build practical technology skills through instructor-led training, hands-on labs and real-world projects across DevOps, cloud, Kubernetes and AI.