Ultimate EKS Bootcamp: From Zero to Production-Ready AWS K8S

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 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