Design and manage scalable container platforms using Google Kubernetes Engine on Google Cloud.
Learn how to deploy and manage Kubernetes clusters using Google Kubernetes Engine, including workload deployment, networking, storage management, monitoring, scaling and security practices for cloud-native environments.
- Why get trained: Learn how to deploy and manage Kubernetes workloads using Google Kubernetes Engine, container networking, persistent storage, monitoring and cloud-native security practices.
- Why it matters: Kubernetes and container orchestration capabilities help organizations build scalable, resilient and portable cloud-native applications across modern hybrid and multi-cloud environments.
- Who should attend: Cloud engineers, DevOps professionals, Kubernetes administrators and IT practitioners responsible for deploying and managing containerized applications on Google Cloud.
Build practical Kubernetes and cloud-native infrastructure capabilities using Google Kubernetes Engine with Trainocate. HRD Corp Claimable.
Overview
Learn how to deploy and manage containerized applications on Google Kubernetes Engine (GKE) and the other tools on Google Cloud. This course features a combination of lectures, demos, and hands-on labs to help you explore and deploy solution elements—including infrastructure components like pods, containers, deployments, and services—along with networks and application services.
You’ll also learn how to deploy practical solutions, including security and access management, resource management, and resource monitoring.
Learn more about Kubernetes Expertise here: Kubernetes Expertise: Unlocking Cloud Potential in Malaysia
Skills Covered
- Create and manage workloads in Google Kubernetes Engine.
- Explain how pod networking works in Google Kubernetes Engine.
- Define and work with different Kubernetes storage abstractions.
- Describe and manage authentication, authorization, and security in Google Kubernetes Engine.
- Monitor applications running in Google Kubernetes Engine.
- Explore Google Cloud managed storage services options.
- Configure CI/CD pipelines for Google Kubernetes Engine.
Prerequisites
To get the most out of this course, participants should have: Completed Google Cloud Platform Fundamentals: Core Infrastructure or have equivalent experience Basic proficiency with command-line tools and Linux operating system environments.
Target Audience
This class is intended for the following participants:
- Cloud architects, administrators, and SysOps/DevOps personnel.
- Individuals using Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure with Google Cloud.
Module 1: Workloads: Deployments and Jobs
- Define, configure, inspect, manage, and update Deployments.
- Define what Jobs and CronJobs are in GKE and explore relevant use cases.
- Create and run Jobs.
- Explain how to scale clusters manually and automatically.
- Configure node and pod affinity.
Module 2: Google Kubernetes Engine Networking
- Explore Kubernetes networking, including Pod and cluster networking.
- Create services to expose applications running within Pods.
- Configure load balancers to expose services to external clients.
- Explore container-native load balancing in GKE.
- Configure Google Kubernetes Engine networking.
Module 3: Persistent Data and Storage
- Define and work with Kubernetes storage abstractions.
- Run and maintain sets of pods using StatefulSets.
- Use ConfigMaps to decouple configuration from Pods.
- Manage and store sensitive access and authentication data.
- Configure persistent storage for Google Kubernetes Engine.
Module 4: Access Control and Security in Kubernetes and Google Kubernetes Engine
- Authentication and authorization
- Kubernetes role-based access control
- Workload Identity
- Kubernetes control plane security
- Pod security
Module 5: Google Kubernetes Engine Logging and Monitoring
- Identify the tools included in Google Cloud Observability.
- Configure the Google Cloud operations suite to monitor and manage availability and performance.
- Inspect logs using the
kubectlcommand. - Inspect Kubernetes logs using Google Cloud Observability.
- Configure GKE-native Monitoring and Logging.
Module 6: Using Google Cloud Managed Storage Services with Google Kubernetes Engine
- Contrast managed storage services with self-managed storage.
- Identify use cases for Cloud Storage for Kubernetes applications.
- Compare the range of Google Cloud managed database services.
- Explore Cloud SQL Auth Proxy and how it connects to Cloud SQL from within GKE.
- Use Cloud SQL with Google Kubernetes Engine.
Module 7: Using CI/CD with Google Kubernetes Engine
- Define continuous integration and continuous delivery and identify why they are important.
- Examine CI/CD pipelines and how they can optimize application releases.
- Explore first-party and third-party CI/CD tools supported by Google Cloud.
- Explore Google’s best practices for a GKE CI/CD pipeline.
Dates & Locations
June 22, 2026 - June 24, 2026
June 22, 2026 - June 24, 2026
August 17, 2026 - August 19, 2026
August 17, 2026 - August 19, 2026
October 19, 2026 - October 21, 2026
October 19, 2026 - October 21, 2026
December 14, 2026 - December 16, 2026
December 14, 2026 - December 16, 2026
Exam & Certification
Google Associate Cloud Engineer
An Associate Cloud Engineer deploys and secures applications, services, and infrastructure, monitors operations of multiple projects, and maintains enterprise solutions to ensure that they meet target performance metrics. This individual has experience working with public clouds and on-premises solutions. They are able to perform common platform-based tasks to maintain and scale one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud.
This course along with the rest listed below prepares you for the Google Associate Cloud Engineer certification.
Training & Certification Guide
Frequently Asked Questions
Speak to a Training Consultant
All courses are HRD Claimable.
Get in touch with our team via the form or WhatsApp us on +6011-5119 6631
