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

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 apractical, 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 tacklescaling strategies— EKS Cluster Autoscaler, Horizontal Pod Autoscaler, Vertical Pod Autoscaler, and advanced solutions likeKarpenterfor just-in-time node provisioning, andKEDAfor event-driven scaling.

Finally, we’ll coverEKS observabilitywith logging, metrics, and dashboards so you can keep your clusters healthy and cost-efficient.

By the end of this bootcamp, you’ll have aproduction-ready EKS skillset— ready to build, scale, and monitor Kubernetes workloads on AWS.

What You’ll Learn

Set up and configureAmazon EKS clustersfrom scratch

Deploy applications to EKS usingkubectland manifests

ConfigureIngress with AWS ALB Ingress Controller

Attachpersistent EBS volumesfor stateful workloads

Secure workloads usingIAM Roles for Service Accounts (IRSA)

ImplementEKS Cluster Autoscalerfor node scaling

ApplyHorizontal Pod Autoscaler (HPA)andVertical Pod Autoscaler (VPA)for workload scaling

UseKarpenterfor next-generation cluster scaling

ImplementKEDAfor event-driven autoscaling scenarios

Monitor and troubleshoot EKS clusters usingPrometheus, Grafana, and CloudWatch

Optimize 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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