Architecting with Google Kubernetes Engine (GKE)

Price
$2,700.00 USD

Duration
2 Days

 

Delivery Methods
Virtual Instructor Led
Private Group

Course Overview

Looking to launch modern, cloud-native applications at scale? The Architecting with Google Kubernetes Engine (GKE) course teaches you how to deploy practical solutions and manage containerized workloads using GKE and related tools on Google Cloud.

This course features an interactive learning experience featuring lectures, demos, and hands-on labs. You’ll explore applications on Google Kubernetes Engine and understand the Kubernetes architecture as it runs on Google Cloud Platform. You'll also learn how to build and manage Kubernetes Engine clusters, implement RBAC, configure load balancers, and integrate monitoring and resource management into your projects.

Course Objectives

When you complete this course, you’ll gain the ability to deploy and manage containerized applications and build robust cloud-native infrastructure. You’ll understand how software containers function, how Kubernetes schedules pods, and how to scale and secure clusters across diverse application environments. You'll work with IAM, RBAC, resource monitoring, managed storage, and command-line tools and Linux operating systems to operate GKE efficiently.

The course emphasizes real-world architecture and supports learners aiming for specialized training or advanced certification. You’ll also learn how to use Google Cloud to create new solutions or to integrate existing systems, developing both technical fluency and confidence in managing containerized applications.

Who Should Attend?

This course is built for cloud architects, DevOps engineers, systems administrators, and individuals using Google Cloud for application development or IT operations. It’s also a fit for professionals looking to enroll in the Architecting with Google Kubernetes Engine series or pursue certification in containerized infrastructure design.

  • Top-rated instructors: Our crew of subject matter experts have an average instructor rating of 4.8 out of 5 across thousands of reviews.
  • Authorized content: We maintain more than 35 Authorized Training Partnerships with the top players in tech, ensuring your course materials contain the most relevant and up-to date information.
  • Interactive classroom participation: Our virtual training includes live lectures, demonstrations and virtual labs that allow you to participate in discussions with your instructor and fellow classmates to get real-time feedback.
  • Post Class Resources: Review your class content, catch up on any material you may have missed or perfect your new skills with access to resources after your course is complete.
  • Private Group Training: Let our world-class instructors deliver exclusive training courses just for your employees. Our private group training is designed to promote your team’s shared growth and skill development.
  • Tailored Training Solutions: Our subject matter experts can customize the class to specifically address the unique goals of your team.

What is Architecting with Google Kubernetes Engine?

This Google cloud training is an instructor-led course that helps IT professionals build and manage containerized applications on Google Kubernetes Engine (GKE). As part of Google Cloud’s official training path, it provides essential skills for cloud architects, DevOps engineers, and system administrators working with Kubernetes in production environments.

Is Architecting with GKE worth it?

Yes. This specialized training equips cloud professionals with the skills to run containerized applications on Google Kubernetes, manage infrastructure, configure clusters, and prepare for GCP certification. It also includes hands-on experience working in production-like environments.

How does this course help me configure access control in production clusters?

One of the most critical tasks for cloud engineers is managing access control across teams and workloads. In this course, you’ll learn to configure Kubernetes RBAC, use IAM roles, and implement security policies to protect GKE deployments—skills directly tied to enterprise-grade security requirements.

What tools and platforms will I use?

You’ll work in hands-on labs using the Google Cloud Console, kubectl, gcloud, and Qwiklabs to deploy, manage, and monitor workloads. These tools are commonly used in professional DevOps and cloud architecture roles to streamline deployment and manage Google Cloud infrastructure.

Does this course help prepare for certification?

Absolutely. This course is aligned with Google Cloud’s recommended training paths and supports preparation for GCP role-based certification, particularly for cloud architects and Kubernetes specialists working in cloud computing environments.

Course Prerequisites

Completed “Google Cloud Fundamentals: Core Infrastructure” or have equivalent experience

Agenda

Introduction to Google Cloud and GKE

  • Overview of Google Cloud Platform architecture
  • Positioning Kubernetes in the context of cloud-native development

Workload Management: Kubernetes Architecture and Core Concepts

  • Introduction to software containers, pods, and cluster components
  • GKE control plane architecture and networking
  • How to create and manage GKE clusters

Deploying and Scaling Applications

  • Creating deployments and ReplicaSets
  • Using kubectl, YAML, and gcloud for automation
  • Configuring load balancing and scaling workloads

Security and Access Control

  • Implementing IAM and access control
  • Securing workloads with RBAC, Secrets, and ConfigMaps
  • Hardening clusters with security best practices

Cloud Computing: Persistent Storage and Managed Services

  • Working with persistent storage and StatefulSets
  • Using managed storage in Google Cloud
  • Connecting to services that interact with GKE deployments

Monitoring, Logging, and CI/CD Pipelines

  • Resource monitoring with Cloud Monitoring and Logging
  • Observability for application environments and system health
  • CI/CD with Cloud Build, Artifact Registry, and deployment automation

Final Lab and Course Summary

  • Lab: End-to-end deployment of a containerized app on GKE
  • Recap of key skills and course materials
 



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