Master Azure Kubernetes Service from cluster provisioning to enterprise-grade operations. Deep-dive into AKS networking, RBAC, KEDA event-driven scaling, Azure Monitor integration, GitOps deployments, and AI-assisted Kubernetes management for production workloads.
Production-grade labs on real Azure subscriptions covering cluster provisioning, networking, security, KEDA, and GitOps workflows.
GitHub Copilot and Claude generate YAML manifests, diagnose pod failures, write HPA policies, and create Azure Monitor alert rules throughout the course.
Deep integration with Azure services — ACR, Azure Monitor, Azure Policy, Managed Identity, KEDA, Dapr — reflecting real enterprise AKS architectures.
Provision two AKS clusters, deploy a microservices app with GitOps, configure KEDA event-driven scaling, and build AI-powered monitoring with automatic incident response.
Build a KEDA-scaled order processing system using Azure Service Bus as the trigger, Dapr for state management, and Azure Cosmos DB as the backend — all on AKS.
Implement a zero-trust AKS cluster with AAD workload identity, OPA Gatekeeper admission control, Calico network policies, and AI-generated RBAC policies.
Build an AI operations assistant that diagnoses pod failures, generates runbooks from incidents, and auto-remediates common AKS issues using Azure Monitor alerts and LLM APIs.
Upon completing all labs and the capstone project, you will receive a verified certificate in Advanced Azure Kubernetes Service Engineering, recognised by hiring managers across the Azure ecosystem. Shareable directly on LinkedIn.
Design and operate enterprise Kubernetes clusters on Azure AKS with advanced networking, RBAC, and autoscaling.
Architect multi-cluster AKS platforms with GitOps, KEDA, Dapr, and Azure-native observability for enterprise clients.
Apply AI tools to Kubernetes operations — automated anomaly detection, incident triage, and self-healing infrastructure.
Ensure AKS cluster reliability, performance, and cost efficiency with AI-assisted monitoring and automated incident response.
Build internal developer platforms on AKS with self-service provisioning, GitOps workflows, and Backstage integration.
Implement Kubernetes security at scale — OPA Gatekeeper, AAD workload identity, image scanning, and compliance automation.
"The KEDA module was exactly what my team needed. I implemented event-driven scaling on our Azure Service Bus queues within a week. Cut our infrastructure costs by 35%."
"The AI-assisted debugging section saved me hours. I now use Claude to diagnose CrashLoopBackOff pods in 2 minutes instead of 30. Game-changing for on-call shifts."
"Best AKS training available. The GitOps module with ArgoCD is production-ready from day one. Got promoted to Senior Cloud Engineer after completing this course."
