Master Amazon EKS with hands-on labs: Deploy, scale, secure, and monitor production-grade Kubernetes workloads using AWS
What you'll learn
Set up and configure Amazon EKS clusters from scratch
Deploy applications to EKS using kubectl and manifests
Configure Ingress with AWS ALB Ingress Controller
Attach persistent EBS volumes for stateful workloads
Secure workloads using IAM Roles for Service Accounts (IRSA)
Implement EKS Cluster Autoscaler for node scaling
Apply Horizontal Pod Autoscaler (HPA) and Vertical Pod Autoscaler (VPA) for workload scaling
Use Karpenter for next-generation cluster scaling
Implement KEDA for event-driven autoscaling scenarios
Monitor and troubleshoot EKS clusters using Prometheus, Grafana, and CloudWatch
Optimize cost and performance for Kubernetes workloads on AWS
Requirements
Basic understanding of Kubernetes concepts (pods, deployments, services)
AWS account with administrative access
Familiarity with basic AWS services like EC2, IAM, and VPC
Command-line experience (bash or similar)
Description
Learn Amazon EKS the right way — from fundamentals to advanced autoscaling and monitoring.This course is designed for DevOps Engineers, Cloud Architects, and Kubernetes practitioners who want to confidently run production workloads on Amazon Elastic Kubernetes Service (EKS).We'll start with a practical, lab-driven approach — no endless theory. You'll begin by setting up your AWS and Kubernetes environment, then progress through deploying workloads, managing networking with ALB ingress, enabling persistent storage, and securing access with IAM Roles for Service Accounts (IRSA).From there, we'll tackle scaling strategies — EKS Cluster Autoscaler, Horizontal Pod Autoscaler, Vertical Pod Autoscaler, and advanced solutions like Karpenter for just-in-time node provisioning, and KEDA for event-driven scaling.Finally, we'll cover EKS observability with logging, metrics, and dashboards so you can keep your clusters healthy and cost-efficient.By the end of this bootcamp, you'll have a production-ready EKS skillset — ready to build, scale, and monitor Kubernetes workloads on AWS.What You'll LearnSet up and configure Amazon EKS clusters from scratchDeploy applications to EKS using kubectl and manifestsConfigure Ingress with AWS ALB Ingress ControllerAttach persistent EBS volumes for stateful workloadsSecure workloads using IAM Roles for Service Accounts (IRSA)Implement EKS Cluster Autoscaler for node scalingApply Horizontal Pod Autoscaler (HPA) and Vertical Pod Autoscaler (VPA) for workload scalingUse Karpenter for next-generation cluster scalingImplement KEDA for event-driven autoscaling scenariosMonitor and troubleshoot EKS clusters using Prometheus, Grafana, and CloudWatchOptimize cost and performance for Kubernetes workloads on AWS
Who this course is for
DevOps Engineers and Platform Engineers running workloads on AWS
Kubernetes administrators looking to specialize in AWS EKS
Cloud Engineers wanting hands-on experience with AWS-native Kubernetes scaling and monitoring
Anyone preparing for AWS DevOps or Kubernetes certifications with a focus on EKS

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