Google Kubernetes Engine: Basic to Advanced on Google Cloud

Based on the detailed course description you've provided, here is an outline of the Kubernetes course content that covers the introduction to Kubernetes, architecture, setup in GCP, and various aspects such as labels, selectors, scalability with ReplicationController (RCC) and ReplicaSet (RS), deployments, Kubernetes networking, services like ClusterIP, NodePort, LoadBalancer, and persistent storage options.

Course Content:

Section 1: Introduction to Kubernetes

• What is Kubernetes?
• History of Kubernetes
• Key concepts in Kubernetes
• Importance of Kubernetes for DevOps teams

Section 2: Core Concepts

• Pods
• Nodes vs. Miniks
• Cluster Information (CCII)

Section 3: Installation & Configuration

• Setting up a Kubernetes cluster in GCP
• Initializing the master nodes
• Joining worker nodes to the cluster

Section 4: Labels and Selectors

• Understanding Labels
• Mastering Selectors
• Practical exercises on labeling and selecting

Section 5: Kubernetes Control

• Introduction to control plane in Kubernetes
• Understanding Namespaces
• Kubernetes RBAC (Role-Based Access Control)
• Command Line Tools kubectl
• Lab exercises on RBAC

Section 6: Advanced Concepts

• Kubernetes ConfigMaps
• Kubernetes Secrets
• Service Accounts
• Practical exercises on ConfigMaps and Secrets

Section 7: Pod Lifecycle Management

• Init containers
• Readiness probes (RPPs)
• Killing containers
• Logging and Monitoring containers
• Lab exercises for pod lifecycle

Section 8: Deployment and Rollback

• Introduction to deployments in Kubernetes
• How to use deployments for rolling out and rolling in application updates
• Kubernetes deployment object creation and usage
• Performing rollbacks to previous versions of applications
• Lab exercises for deployments and rollbacks

Section 9: Networking

• Kubernetes Service (S)
• Kubernetes Ingress resource
• Inter Pod Communication
• Exposing applications using NodePorts
• Practice labs on networking

Section 10: Kubernetes Services Architecture

• Understanding ClusterIP, NodePort, and LoadBalancer services in Kubernetes
• Practical exercises on creating and accessing applications through different types of services

Section 11: Volumes in Kubernetes Cluster

• Introduction to volumes in Kubernetes
• EmptyDir volumes
• hostPath volumes
• Lab exercises for emptyDir and hostPath volumes

Section 12: Persistent Volumes in GKE

• Overview of Persistent Volumes (PVs) in GKE
• Creating a PersistentVolume (PV) using a PersistentVolumeClaim (PVC)
• GKE Pod With Persistent Volume (PV)
• Last lecture and questions

Section 13: Kubernetes Security

• Introduction to security in Kubernetes
• Network Policy Enforcement (NE)
• Kubernetes Role-Based Access Control (RBAC) fine-grained access control
• Kubernetes Security Context Constraints (SCCs)
• Lab exercises on security

Section 14: Kubernetes Cluster Autoscaling

• Horizontal Pod Autoscaling (HPA)
• Cluster Autoscaling (CAA)
• Lab exercises on autoscaling

Section 15: Kubernetes Monitoring and Logging

• Introduction to monitoring and logging in Kubernetes
• Kubernetes Metrics Server (MOS)
• Prometheus monitoring tool
• Grafana visualization and dashboards
• Kubernetes Events (KEV) and Audit Logs
• Lab exercises on monitoring, logging, and alerting

Section 16: Final Project and Assessments

• Design and implement a multi-container based web application with a persistent database in Kubernetes
• Deploy, manage, scale, monitor, log, secure, and back up this application
• Perform a full lifecycle of the application from development to production and then rollback to any previous version as required
• Final Project Presentation and Peer Review
• Comprehensive Assessments and Knowledge Checks

Section 17: Course Summary and Next Steps

• Recap of the key concepts covered in the course
• Overview of the typical workflow or pipeline in a Kubernetes environment
• Discussion on career paths and opportunities enabled by Kubernetes expertise
• Final Q&A session for any remaining queries and answers

This comprehensive course content structure is designed to provide learners with a solid foundation and in-depth knowledge across all aspects of Kubernetes. It aims to equip professionals with the necessary skills and competencies required to excel in their respective roles within DevOps teams, cloud computing environments, and containerized application deployment scenarios.

Note: The actual course content may vary depending on the specific curriculum provided by the educational institution or the training program being followed. The above is a general outline for a typical Kubernetes course.