1. Kubernetes Fundamentals

• Introduction to container orchestration and Kubernetes architecture.
• Deep dive into Kubernetes components such as API Server, etcd, Controller Manager, Scheduler, and Kubelet.
• Understanding the role of Pods, Deployments, ReplicaSets, and Namespaces in managing containerized applications.

2. Cluster Installation and Configuration

• Hands-on training in setting up Kubernetes clusters from scratch using tools like kubeadm, kops, and Minikube for both local and cloud environments (AWS, GCP, Azure).
• Configuring and securing multi-node Kubernetes clusters.
• Practical labs on managing cluster networking with CNI (Container Network Interface) plugins like Flannel, Weave, and Calico.

3. Workload Management

• Detailed training on deploying, scaling, and managing workloads with Kubernetes Deployments, DaemonSets, StatefulSets, and Jobs.
• Best practices for managing application updates, scaling containers, and handling rollback scenarios.
• Real-world projects where students deploy and manage web applications, databases, and microservices using Kubernetes workloads.

4. Networking in Kubernetes

• Exploring Kubernetes networking concepts such as ClusterIP, NodePort, and LoadBalancer services.
• Configuring Ingress Controllers (NGINX, Traefik) to manage external access to Kubernetes services.
• Real-time examples of setting up networking policies, securing communication between Pods, and configuring DNS for service discovery.

5. Storage in Kubernetes

• Detailed overview of Kubernetes Volumes, including emptyDir, hostPath, Persistent Volumes (PVs), and Persistent Volume Claims (PVCs).
• Hands-on projects where students set up storage solutions using NFS, AWS EBS, GCE Persistent Disk, and Azure Disks.
• Managing dynamic storage provisioning and handling storage for stateful applications like databases.

6. Security and Authentication

• Implementing security best practices in Kubernetes, including role-based access control (RBAC), service accounts, and securing the API server.
• Hands-on experience in managing TLS certificates, encrypting sensitive data with Kubernetes Secrets, and securing network communication within clusters.
• Configuring network policies to control traffic between Pods and services.

7. Cluster Maintenance and Troubleshooting

• Managing and upgrading Kubernetes clusters while ensuring zero downtime.
• Backing up etcd, restoring cluster state, and handling disaster recovery scenarios.
• Practical labs on troubleshooting cluster issues related to Pods, services, networking, and control plane components.
• Real-time scenarios where students diagnose and resolve common Kubernetes failures (e.g., Pods not starting, network connectivity issues, resource limits).

8. Logging and Monitoring

• Integrating logging and monitoring tools like Prometheus, Grafana, and Elasticsearch for real-time visibility into cluster performance and health.
• Setting up Kubernetes Metrics Server for resource usage monitoring and configuring alerting systems for proactive cluster management.
• Hands-on projects where students configure centralized logging for their Kubernetes clusters.

9. Scheduling and Resource Management

• Deep dive into Kubernetes Scheduler and its functionality.
• Managing resource allocation and optimizing cluster utilization using resource requests, limits, and tolerations.
• Real-time scenarios for workload scheduling with affinity, taints, and tolerations.

10. High Availability and Disaster Recovery

• Setting up highly available Kubernetes clusters with multi-master and worker nodes, ensuring fault tolerance and reliability.
• Configuring disaster recovery plans, including cluster backups and restore mechanisms.
• Real-world projects to simulate production-like failures and implementing automated recovery strategies.

11. Kubernetes in CI/CD Pipelines

• Integrating Kubernetes with CI/CD pipelines (GitLab CI/CD, Jenkins) to automate the deployment of containerized applications.
• Using Kubernetes Helm for managing application releases and defining reusable Kubernetes templates.
• Practical projects where students build end-to-end pipelines, automate application deployments, and implement rolling updates and rollbacks.

12. Real-World Projects and Mock Exams

• Throughout the course, students work on real-time projects such as deploying multi-tier applications, setting up auto-scaling, managing stateful applications, and configuring monitoring and logging systems.
• Mock exams that simulate the CKA exam environment, ensuring students are well-prepared for the actual exam with time management and troubleshooting skills.