Master Amazon Elastic Kubernetes Service for enterprise-grade production deployments on AWS. Deep-dive into EKS cluster architecture, VPC-CNI networking, IRSA for IAM security, Karpenter node provisioning, KEDA event-driven scaling, GitOps with ArgoCD, AWS-native observability, and AI-assisted Kubernetes operations at scale.
Production-grade labs on real AWS accounts — EKS cluster provisioning, VPC-CNI, IRSA, Karpenter, KEDA, and GitOps on live Amazon EKS clusters.
GitHub Copilot and Claude generate EKS YAML manifests, IRSA IAM policies, Karpenter NodePool configurations, and CloudWatch alert rules throughout every lab.
Deep integration with AWS services — ECR, ALB, Route53, ACM, CloudWatch, SQS, and DynamoDB — reflecting real enterprise EKS architectures used at scale.
Deploy a multi-cluster EKS platform — dev and prod — with GitOps via ArgoCD, Karpenter node provisioning, IRSA for all microservice permissions, and ADOT for distributed tracing.
Build a KEDA-powered image processing pipeline on EKS — SQS triggers pod scaling, Karpenter adds Spot nodes on demand, IRSA grants S3 and DynamoDB access, and auto-scales to zero when idle.
Implement a zero-trust EKS cluster — Pod Identity for fine-grained IAM, OPA Gatekeeper admission control, VPC-CNI network policies, and AI-generated IRSA policies with least-privilege analysis.
Create an AI operations platform that monitors EKS health, diagnoses pod failures with Claude, generates remediation runbooks, and auto-executes approved fixes via CloudWatch Events and Lambda.
Upon completing all labs and the capstone, you receive a verified certificate in Advanced Amazon EKS Engineering — covering cluster architecture, IRSA, Karpenter, KEDA, GitOps, and AI-assisted operations. Recognised by AWS-focused employers and shareable on LinkedIn.
Design and operate enterprise EKS clusters with Karpenter, IRSA, KEDA, and GitOps at AWS scale.
Architect production AWS Kubernetes platforms with EKS, Fargate, ALB, Route53, and CloudWatch.
Apply AI tools to EKS operations — automated anomaly detection, incident triage, and self-healing infrastructure.
Ensure EKS cluster reliability with Karpenter node management, advanced autoscaling, and AI-assisted on-call tools.
Build AWS-native developer platforms on EKS with Backstage, ArgoCD, and Fleet management.
Secure EKS with IRSA, Pod Identity, OPA, image scanning, and AI-generated IAM policies.
"The Karpenter module is the best investment I've made this year. Our AWS bill dropped 42% the week we implemented Spot + On-Demand NodePools. The cost optimisation section paid for itself 50 times over."
"IRSA was always mysterious to me. After this course I understand it deeply and can implement it for any microservice in minutes. The AI-generated least-privilege policies save hours of IAM policy writing."
"The multi-cluster GitOps capstone is exactly the architecture we run in production. I implemented it at my company the week after finishing and replaced our manual deployment process entirely."
