Introduction of the Course

The Google Kubernetes Engine (GKE) Mastery Corporate Training by Netskill equips IT professionals with the skills to design, deploy, and manage containerized workloads in Google Cloud environments.

Participants gain hands-on experience with Kubernetes clusters, workloads, networking, autoscaling, CI/CD integrations, and security management while learning best practices for cost optimization, observability, and cluster governance.

This training ensures learners can confidently run highly available, secure, and automated workloads in GKE for enterprise-grade application delivery.

Courses: Instructor-Led, In-Person, or Self-Paced

Netskill offers flexible training delivery to fit every enterprise need:

• Online Instructor-Led: Interactive live sessions with certified Kubernetes and GCP experts featuring guided demos and Q&A.
• In-Person Training: Intensive, project-focused workshops at your location for team-based Kubernetes learning.
• Self-Paced Learning via Netskill LMS: Access to full course videos, labs, quizzes, and certification content anytime.

All formats include:

• Gamified Learning with Progress Tracking, Badges & Leaderboards
• Real-World Cluster Deployment Labs
• Interactive Quizzes and Knowledge Checks
• Capstone Project and Certification Preparation
• Lifetime Access to the Netskill LMS

Target Audience for Corporate GKE Training

This program is ideal for:

• Cloud Infrastructure Engineers
• DevOps Engineers and Site Reliability Engineers (SREs)
• Application Developers deploying containerized apps
• System Administrators managing container clusters
• Cloud Architects designing hybrid or multi-cloud systems

What Are the Modules Covered

Module 1: Introduction to Kubernetes and GKE

• Understanding Kubernetes architecture and components
• GKE cluster setup and environment overview
• Differences between Standard and Autopilot modes

Module 2: Cluster Management and Node Configuration

• Creating and managing GKE clusters using Cloud Console, SDK, and Terraform
• Node pools, autoscaling, and resource quotas
• Cluster upgrades and maintenance

Module 3: Deploying and Managing Workloads

• Managing Pods, Deployments, ReplicaSets, and StatefulSets
• Rolling updates, scaling, and rollbacks
• Application configuration with ConfigMaps and Secrets

Module 4: Networking and Service Management

• Kubernetes networking concepts (Services, Ingress, DNS)
• Load balancing and service discovery
• Hybrid networking and VPC integration

Module 5: Storage and Persistent Volumes

• Managing Persistent Volumes (PVs) and Claims (PVCs)
• Dynamic provisioning and data persistence strategies
• Integrating Cloud Storage and Filestore with Kubernetes

Module 6: Security, Policies, and Identity Management

• Kubernetes RBAC, Workload Identity, and IAM integration
• Pod Security Standards and network policies
• Secrets encryption and compliance monitoring

Module 7: Observability and Monitoring

• Implementing Cloud Operations (formerly Stackdriver)
• Log collection, alerting, and tracing
• Troubleshooting and health management

Module 8: CI/CD and Automation in GKE

• Integrating GKE with Cloud Build, Cloud Deploy, and GitOps
• Automating deployments using Helm and Argo CD
• Blue/Green and Canary deployment strategies

Module 9: Cost Optimization and Best Practices

• Autoscaling workloads efficiently
• Managing cluster resource utilization
• Optimizing compute, storage, and network costs

Module 10: Capstone Project and Certification Preparation

• Deploying a complete microservices-based application on GKE
• Implementing scaling, monitoring, and security
• Practice tests and review for certification readiness

Importance of Google Kubernetes Engine (GKE) Training

As enterprises shift to containerized and cloud-native ecosystems, GKE has become the cornerstone of scalable and automated application management. This training enables teams to:

• Build and manage resilient containerized applications
• Optimize deployment, scaling, and resource utilization
• Strengthen security, compliance, and observability
• Automate CI/CD workflows and accelerate delivery cycles
• Gain certification-ready expertise in Kubernetes administration on GCP

Training Skills and Competencies for Employees

By the end of the course, participants will be able to:

• Deploy and manage Kubernetes clusters on GKE
• Configure networking, autoscaling, and persistent storage
• Secure workloads with IAM, RBAC, and network policies
• Integrate GKE with CI/CD pipelines and DevOps tools
• Monitor and troubleshoot production-grade applications
• Optimize clusters for performance and cost efficiency

Netskill Approach to GKE Mastery Training

Netskill’s hands-on and gamified approach ensures practical, engaging, and outcome-oriented learning.

Our approach includes:

• Expert-Led Interactive Sessions with real-world demos
• Hands-On Labs and Case Studies on live clusters
• Gamified Learning Modules with progress badges and leaderboards
• Real-World Project Implementation in GKE environments
• Certification Readiness Assessments and Mentoring

This methodology helps learners transition from theoretical understanding to enterprise-ready Kubernetes expertise.

Why Choose Netskill as Your Google Cloud Training Partner?

• Certified Google Cloud and Kubernetes Instructors
• Aligned with CKA and GKE Certification blueprints
• Blended learning modes: Online, In-Person, or Self-Paced
• Enterprise-grade projects simulating real GKE deployments
• Gamified Learning, Quizzes, and Certification Prep on Netskill LMS
• Lifetime LMS access for updates, labs, and resources

With Netskill’s GKE Mastery Corporate Training, your teams will gain the skills to deploy and manage complex, production-ready Kubernetes environments confidently.