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Google Kubernetes Engine Administrator Training

Last Updated: 08-03-2025

The Google Kubernetes Engine (GKE) Administrator Training course is designed for IT professionals, DevOps engineers, and cloud administrators who want to learn how to deploy, manage, and scale containerized applications using Google Kubernetes Engine (GKE) on Google Cloud Platform (GCP). In this hands-on course, you'll gain the skills needed to manage Kubernetes clusters, automate deployments, and implement security best practices in a production environment. You'll learn how to optimize container orchestration, monitor workloads, and use GKE to manage applications at scale. Whether you are preparing for a Google Cloud certification or aiming to advance your career in Kubernetes administration, this course provides the essential tools and knowledge needed to succeed as a GKE Administrator.

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Schedule Learners Course Fee Register Your Interest
April 28th - 01st
09:00 - 17:00 (CST)
Live Virtual Classroom
USD 1,280
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April 21st - 24th
09:00 - 17:00 (CST)
Live Virtual Classroom
USD 1,280
May 12th - 21st
09:00 - 13:00 (CST)
Live Virtual Classroom
USD 1,280
June 02nd - 05th
09:00 - 17:00 (CST)
Live Virtual Classroom
USD 1,280

Course Prerequisites

  • Basic knowledge of Google Cloud Platform (GCP) services and cloud computing concepts.
  • Familiarity with containers and containerization concepts, especially Docker.
  • Understanding of Kubernetes basics or experience with container orchestration (prior knowledge is helpful but not required).
  • Comfort with using command-line interfaces (CLI) and basic Linux commands.
  • Familiarity with cloud networking and virtual machines is beneficial.

Learning Objectives

By the end of the Google Kubernetes Engine Administrator Training, you will be able to:

  1. Understand the core concepts of Kubernetes and Google Kubernetes Engine (GKE), including nodes, pods, deployments, services, and namespaces.
  2. Set up and configure GKE clusters on Google Cloud, and understand cluster architecture and components.
  3. Deploy, manage, and scale containerized applications in Google Kubernetes Engine (GKE) using kubectl and other Kubernetes tools.
  4. Implement load balancing and auto-scaling for applications running in Kubernetes, ensuring they scale effectively based on traffic and resource utilization.
  5. Use Google Cloud Storage and other GCP services in conjunction with GKE to manage persistent data and integrate with containerized applications.
  6. Apply security best practices for GKE, including managing RBAC (Role-Based Access Control), setting up service accounts, and using network policies.
  7. Automate deployment processes using Helm charts, CI/CD pipelines, and other Kubernetes deployment strategies.
  8. Monitor and troubleshoot Kubernetes clusters and applications using Google Cloud Monitoring, Cloud Logging, and Cloud Trace.
  9. Manage application configurations using ConfigMaps and Secrets, and implement resource quotas for efficient cluster management.
  10. Learn how to manage Kubernetes networking, including ingress controllers, service discovery, and DNS in GKE.
  11. Prepare for the Google Cloud Professional Cloud Architect or Google Kubernetes Administrator certification exam with the core skills needed for each.

Target Audience

This course is ideal for:

  • DevOps engineers and cloud administrators who want to gain expertise in managing Kubernetes clusters using Google Kubernetes Engine (GKE).
  • System administrators and cloud architects responsible for configuring, scaling, and securing containerized applications on Google Cloud.
  • Developers interested in automating container deployments and managing cloud-native applications using Kubernetes on GCP.
  • IT professionals looking to transition into a Kubernetes administration role and get hands-on experience with Google Kubernetes Engine (GKE).
  • Individuals preparing for the Google Cloud Professional Cloud Architect or Google Kubernetes Administrator certification exams.

Course Modules

  • Introduction to Kubernetes and GKE

    • Overview of containerization and Kubernetes concepts
    • Understanding the role of GKE in managing Kubernetes clusters
    • Setting up a Google Cloud project and GKE environment
    • Navigating the Google Cloud Console and Cloud SDK for Kubernetes
  • Kubernetes Architecture and Concepts

    • Understanding Kubernetes components: pods, services, deployments
    • Architecture of GKE and how it integrates with Google Cloud
    • Creating and managing clusters with GKE
    • Understanding namespaces, labels, and selectors in Kubernetes
  • Deploying Applications on GKE

    • Deploying and managing applications using Kubernetes
    • Creating and scaling Kubernetes deployments
    • Exposing services and managing ingress controllers in GKE
    • Understanding ReplicaSets, StatefulSets, and DaemonSets
  • Kubernetes Networking

    • Managing pod-to-pod communication and Kubernetes networking models
    • Configuring Network Policies for traffic control
    • Setting up and configuring load balancing on GKE
  • Managing Storage in GKE

    • Using persistent volumes and persistent volume claims
    • Configuring StatefulSets for stateful applications
    • Integrating Cloud Storage with GKE for large file systems
  • Security and Access Control in GKE

    • Implementing Kubernetes Role-Based Access Control (RBAC)
    • Securing GKE clusters with Google Cloud IAM
    • Integrating Google Cloud Security tools (Cloud Armor, Identity-Aware Proxy)
  • Monitoring and Troubleshooting

    • Using Google Cloud Operations suite (formerly Stackdriver) for monitoring
    • Configuring logs, metrics, and alerts for Kubernetes applications
    • Troubleshooting GKE clusters and application performance
  • Scaling and Performance Management

    • Auto-scaling Kubernetes workloads and clusters
    • Optimizing application performance and cluster resources
    • Handling failures and disaster recovery in GKE

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