Getting started with Google Cloud Kubernetes Course Overview

Getting started with Google Cloud Kubernetes Course Overview

The Getting started with Google Cloud Kubernetes course is designed to provide learners with a comprehensive understanding of Kubernetes technology and its deployment on the Google Cloud Platform (GCP). The course begins with an introduction to cloud computing, focusing on Google Cloud's offerings and best practices for resource management and billing. It then delves into the world of containers, exploring container images and the basics of Kubernetes, including its architecture and core concepts.

As learners progress, they will explore the Google Kubernetes Engine (GKE), learning how to manage Kubernetes objects, and understand the Kubernetes Control Plane. The course also covers the migration of applications to GKE using tools like Migrate for Anthos, outlining its architecture and installation process.

In the later modules, participants will gain hands-on experience with Kubernetes workloads, mastering the kubectl command, deployments, service scaling, and update strategies like blue-green and canary deployments. They will also learn about pod networking, volumes, and the PersistentVolume abstraction, ensuring they have the practical skills needed to manage Kubernetes on Google Cloud effectively.

This course is ideal for those seeking to solidify their knowledge of Kubernetes in a cloud environment, and it will help learners become proficient in orchestrating and managing containerized applications using Google Cloud's powerful infrastructure.

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  • Live Training (Duration : 8 Hours)
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  • Live Training (Duration : 8 Hours)
  • Per Participant
  • Classroom Training fee on request

♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

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Koenig's Unique Offerings

Target Audience for Getting started with Google Cloud Kubernetes

  1. The "Getting Started with Google Cloud Kubernetes" course is designed for IT professionals seeking to master containerization and orchestration on GCP.


  2. Target audience for the course includes:


  • DevOps Engineers
  • Cloud Solutions Architects
  • Software Developers focused on cloud-native applications
  • Systems Administrators transitioning to cloud infrastructure
  • IT Managers overseeing cloud adoption
  • Site Reliability Engineers (SREs)
  • Technical Leads exploring orchestration tools
  • Data Scientists requiring scalable processing environments
  • Infrastructure Engineers looking to implement Kubernetes on Google Cloud
  • Security Specialists focused on containerized application security
  • Technical Project Managers involved in cloud projects
  • Application Developers interested in microservices architectures
  • IT Professionals seeking Google Cloud certifications


Learning Objectives - What you will Learn in this Getting started with Google Cloud Kubernetes?

Introduction to the Course’s Learning Outcomes and Concepts Covered

This course is designed to equip students with foundational knowledge and practical skills to deploy, manage, and scale applications using Google Cloud Kubernetes Engine.

Learning Objectives and Outcomes

  • Understand the basics of cloud computing and the core services of Google Cloud Platform (GCP).
  • Learn how to manage GCP resources effectively and understand the GCP billing model.
  • Gain proficiency in interacting with Google Cloud using the Cloud Console and Qwiklabs.
  • Grasp the concepts of containers and container images, and how they revolutionize application deployment.
  • Acquire a solid understanding of Kubernetes, its components, and the Google Kubernetes Engine.
  • Explore the architecture of Kubernetes, including its control plane, objects, and concepts specific to Google Kubernetes Engine.
  • Learn the process of migrating existing applications to GCP using Migrate for Anthos.
  • Understand how to manage Kubernetes workloads, including the usage of deployments, services, and scaling.
  • Master the kubectl command-line tool for managing Kubernetes clusters.
  • Learn deployment strategies such as Blue-Green and Canary deployments, and how to manage persistent storage with Kubernetes volumes.
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