DevOps & Automation
Kubernetes on GKE
This course is a hands-on, practical training program designed to help developers, cloud engineers, and DevOps professionals master Kubernetes using Google Kubernetes Engine (GKE).
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Included with Skilldacity Membership

About This Course
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This course is a hands-on, practical training program designed to help developers, cloud engineers, and DevOps professionals master Kubernetes using Google Kubernetes Engine (GKE). This course walks you through the essentials of deploying, managing, and scaling containerized applications on Google Cloud’s fully managed Kubernetes service. You’ll gain a deep understanding of Kubernetes fundamentals—pods, deployments, services, config maps, secrets, autoscaling, and ingress—while also learning how GKE enhances Kubernetes operations with advanced networking, cluster management, security, and automation features.
Through guided labs and real-world deployment scenarios, you'll learn how to create production-ready clusters, implement CI/CD pipelines, monitor workloads, and design reliable, scalable architectures using GKE’s enterprise capabilities.
What You’ll Learn
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Kubernetes fundamentals and core architecture
Deploying and managing workloads on GKE
Configuring services, load balancing, and ingress
Managing configuration and secrets securely
Implementing autoscaling and self-healing features
Working with GKE networking, node pools, and cluster types
Monitoring, logging, and troubleshooting Kubernetes workloads
Building CI/CD workflows for automated deployments on GKE
Designing production-grade Kubernetes architectures on Google Cloud
Skills You’ll Gain
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Developer
Kubernetes

Career Path
DevOps & Automation

Provider
Skilldacity

Level
Foundational

Certification
No certification associated

Access
Included with eligible Skilldacity subscription

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