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Getting Started with Google Cloud Kubernetes

Last Updated: 08-03-2025

The Getting Started with Google Cloud Kubernetes course is designed to provide beginners with a comprehensive introduction to Google Kubernetes Engine (GKE) and Kubernetes for container orchestration on Google Cloud Platform (GCP). In this hands-on course, you'll learn the core concepts of Kubernetes, including how to deploy, manage, and scale containerized applications using GKE. You'll get practical experience with creating Kubernetes clusters, managing pods, services, and deployments, and monitoring your Kubernetes applications. By the end of this course, you will have the skills and confidence to work with Kubernetes on Google Cloud, enabling you to efficiently run and scale containerized applications in a cloud-native environment.

 

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April 28th - 28th
09:00 - 17:00 (CST)
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USD 320
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April 21st - 21st
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May 12th - 15th
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June 02nd - 02nd
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Course Prerequisites

  • Basic understanding of cloud computing concepts and Google Cloud Platform (GCP) services.
  • Familiarity with containers (e.g., Docker) and how containerized applications work.
  • Some experience with basic Linux commands and the command-line interface (CLI).
  • Prior Kubernetes knowledge is not required, but a basic understanding of containerization will be helpful.

Learning Objectives

By the end of the Getting Started with Google Cloud Kubernetes course, you will be able to:

  1. Understand the core concepts of Kubernetes, such as pods, services, deployments, and namespaces.
  2. Set up and manage Google Kubernetes Engine (GKE) clusters on Google Cloud.
  3. Deploy containerized applications to Kubernetes using kubectl, the Kubernetes command-line tool.
  4. Scale applications up and down in Google Kubernetes Engine (GKE) using Horizontal Pod Autoscaling.
  5. Configure Kubernetes Services to expose applications running inside the cluster to the outside world.
  6. Implement basic Kubernetes security features, including RBAC (Role-Based Access Control) and Pod Security Policies.
  7. Monitor and troubleshoot Kubernetes clusters and containerized applications using Google Cloud Monitoring and Cloud Logging.
  8. Understand Kubernetes networking and how containers communicate within the cluster and externally.
  9. Integrate GKE with other Google Cloud services, such as Cloud Storage, Cloud Pub/Sub, and Cloud Load Balancing.
  10. Prepare for working with Kubernetes in real-world production environments, optimizing workloads for scaling and performance.

Target Audience

This course is ideal for:

  • Developers and DevOps engineers who want to get started with container orchestration using Kubernetes on Google Cloud.
  • System administrators and cloud engineers looking to learn how to manage containerized applications with Google Kubernetes Engine (GKE).
  • IT professionals and cloud architects interested in understanding the basics of Kubernetes and deploying containerized applications on Google Cloud.
  • Beginner Kubernetes users who want to gain hands-on experience with GKE for container orchestration and application scaling.

Course Modules

  • Kubernetes Overview

    • Introduction to Kubernetes and container orchestration
    • Setting up and managing GKE clusters on Google Cloud
    • Kubernetes architecture and concepts (pods, nodes, deployments, etc.)

  • Deploying Applications on Kubernetes

    • Creating and managing Kubernetes deployments and pods
    • Exposing services to the outside world with Kubernetes services
    • Using Helm to manage Kubernetes applications

  • Kubernetes Networking and Security

    • Configuring networking, load balancing, and ingress controllers
    • Securing GKE clusters with IAM and Kubernetes RBAC
    • Managing secrets and configuration in Kubernetes

  • Scaling and Monitoring Applications

    • Autoscaling applications and resources in Kubernetes
    • Setting up monitoring and logging for GKE using Stackdriver
    • Troubleshooting and optimizing applications in GKE

What Our Learners Are Saying

The training, courseware, and lab experience were insightful and valuable. Keep up the great work and learning experience!

Nitish A. Anand – Accenture

Course: SC-200: Microsoft Security Operations Analyst
Date: 15th Jan 2025

The instructor was professional and very content.

Justine Daudi Mlimbilah – Bank of Africa, Tanzania

Course: MD-102: Microsoft 365 Endpoint Administrator
Date: 20th Dec 2024

The instructor was so knowledgeable & humble. Rare to find someone so confident but so down to earth these days. So appreciative to him.”

Mohd. Hassan – Ministry of Finance, UAE

Course: AZ-700: Designing and Implementing Microsoft Azure Networking Solutions
Date: 31st July 2024

Instructor is experienced and knowledgeable in guiding.

Dharshini Mahalaxmi – Dr. MGR Education and Research Institute, Chennai, India

Course: SC-300: Microsoft Identity and Access Administrator
Date: 4th May 2024