• Understand container orchestration and Kubernetes architecture.
• Design, install, configure, and validate Kubernetes clusters.
• Create and manage Kubernetes resources, including Pods, ReplicaSets, and Services.
• Understand Pod scheduling, taints, and tolerations.
• Manage application deployments and deployment strategies.
• Configure environment variables, ConfigMaps, and Secrets.
• Manage Persistent Volumes and Persistent Volume Claims.
• Implement Kubernetes authentication and role-based access control.
• Perform cluster maintenance, upgrades, and etcd backups.
• Monitor Kubernetes applications and cluster components.
• Configure Kubernetes networking, Ingress, and namespaces.
• Troubleshoot Kubernetes cluster components and services.

Module 1: Core Concepts

• Overview of Container Orchestration
• Introduction to Kubernetes
• Understanding Kubernetes Architecture

Module 2: Installation, Configuration & Validation

• Design a Kubernetes Cluster

Module 3: Creating Kubernetes Resources

• Understanding Pods, Labels & Selectors
• Understanding Replication Controller & Replica Set
• Understanding Services – ClusterIP, NodePort & LoadBalancer
• Understanding Daemon Sets

Module 4: Scheduling

• Manual Scheduling of Pods
• Taints and Tolerations

Module 5: Application Lifecycle Management

• Overview of Deployment
• Deployment Strategies – Blue/Green & Canary

Module 6: Environment Variables

• Plain Key
• ConfigMap
• Secret

Module 7: Storage

• Understanding Volume Management in Kubernetes
• Types of Volume Provisioning
• Persistent Volumes
• Persistent Volume Claims

Module 8: Security

• Understanding Kubernetes Authentication
• Understanding Role, ClusterRole, RoleBinding & ClusterRoleBinding
• Understanding Security Context

Module 9: Cluster Maintenance

• Understanding OS Upgrade
• Static Pods
• Cron Jobs

Module 10: Logging and Monitoring

• Understanding How to Monitor Applications and Cluster Components

Module 11: Networking in Kubernetes

• Understanding Basics of Kubernetes Networking
• Understanding CNI Overview
• Understanding Pod Networking Concepts
• CoreDNS Overview in Kubernetes
• Understanding Ingress
• Understanding Namespaces and Their Use Cases
• MetalLB Load Balancer

Module 12: Troubleshooting

• Ways to Troubleshoot ETCD Failure
• Ways to Troubleshoot Kubelet Failure
• Ways to Troubleshoot Container Runtime Failure
• Ways to Troubleshoot Scheduler Failure

5 days

Certification: Certified Kubernetes Administrator (CKA)

Duration: 2 hours.

Format: Online

• Installing a Kubernetes cluster with one master and two nodes.
• Configuring a Kubernetes network solution.
• Deploying applications as Pods.
• Managing Labels, Selectors, ReplicaSets, and Services.
• Practising manual Pod scheduling, taints, and tolerations.
• Deploying applications and implementing deployment strategies.
• Configuring ConfigMaps, Secrets, and environment variables.
• Working with Persistent Volumes, Persistent Volume Claims, and Storage Classes.
• Creating Kubernetes users and Service Accounts.
• Configuring Roles, ClusterRoles, and Role Bindings.
• Upgrading a Kubernetes cluster and performing etcd backups.
• Deploying Static Pods and CronJobs.
• Reading application and cluster component logs.
• Deploying Prometheus and Grafana for Kubernetes monitoring.
• Configuring Ingress rules and namespaces.
• Deploying Metal Load Balancer.
• Troubleshooting etcd, Kubelet, container runtime, and scheduler failures.

• DevOps Engineers
• Systems Administrators
• Cloud Engineers
• Site Reliability Engineers (SRE)
• Technical Leads
• Infrastructure Architects
• Software Developers with an interest in deployment and network operations
• IT Project Managers involved in software development lifecycle management
• Security Professionals responsible for containerized application security
• Application Developers looking to understand the deployment environment
• Technical Support Professionals specializing in container technologies
• IT Professionals aiming to specialize in orchestration and cloud-native deployments

• Comfort with Linux system administration, including Vim/Nano, systemd management, and basic Bash scripting.
• Foundational understanding of container runtimes and image management, such as Docker or containerd.
• Working knowledge of YAML syntax and basic cluster architecture, including control plane and worker nodes.
• Familiarity with the Linux command line and basic kubectl commands.
• Prior experience with networking fundamentals, including IP addressing and DNS resolution.
• Basic troubleshooting knowledge, including service connectivity and command-line log analysis.