Master Google Kubernetes Engine for enterprise-grade cloud-native applications. Deep-dive into GKE Standard and Autopilot, VPC-native networking, Workload Identity, Anthos service mesh, Cloud Monitoring, GitOps, and AI-assisted Kubernetes management at Google Cloud scale.
Real GCP project labs covering GKE Standard and Autopilot, Anthos service mesh, GitOps, and Cloud Monitoring on live Google Cloud infrastructure.
GitHub Copilot and Claude generate YAML manifests, Istio traffic rules, and Cloud Monitoring alert policies — and diagnose node failures and pod issues throughout every lab.
Deep integration with GCP services — Artifact Registry, Cloud Armor, Cloud SQL, Pub/Sub, and Anthos — reflecting real enterprise GKE production architectures.
Deploy a microservices app across two GKE regions, manage with Fleet and Config Sync, use Anthos Istio for traffic management, and implement AI-powered observability.
Migrate a batch processing application to GKE Autopilot with Pub/Sub-triggered scaling, Cloud Storage integration, and zero-ops cluster management.
Build a fully zero-trust GKE cluster with Workload Identity, Binary Authorization image attestation, Istio mTLS, and Cloud Armor WAF.
Create an AI operations platform that monitors GKE health, diagnoses pod failures, generates remediation runbooks, and auto-applies fixes using Vertex AI and Claude.
Upon completing all labs and the capstone project, you receive a verified certificate in Advanced Google Kubernetes Engine Engineering. Recognised by GCP-focused hiring teams and directly shareable on LinkedIn.
Design and operate enterprise GKE clusters with Autopilot, Anthos, Fleet management, and advanced networking.
Architect multi-region GKE platforms with Anthos service mesh, GitOps, and Google-native observability.
Use Vertex AI and LLMs for intelligent GKE monitoring, anomaly detection, and automated incident response.
Maintain GKE cluster reliability with advanced autoscaling, PodDisruptionBudgets, and AI-assisted on-call automation.
Build GCP-native developer platforms on GKE with Backstage, Config Sync, and Fleet-managed golden paths.
Automate GKE security with Binary Authorization, Workload Identity, OPA, Istio mTLS, and Cloud Armor.
"The Anthos Istio labs were outstanding. I set up mTLS and canary deployments on our production GKE cluster the week after finishing the module. Zero-trust is now our standard."
"GKE Autopilot changed how I think about cluster management. The zero-ops approach is perfect for our small team. The AI-assisted debugging saved hours during migration."
"The multi-cluster Fleet management section is something I couldn't find anywhere else. Implemented it at work and our ops team is now managing 8 clusters as easily as 1."
