Boost Your Kubernetes Skills with Free EKS Bootcamp

Transform your cloud computing abilities with our hands-on bootcamp on Amazon EKS. This course dives into using artificial intelligence for translating original content into English, making cutting-edge knowledge accessible to a wider audience. Designed specifically for DevOps engineers and cloud architects, it covers everything from the foundational principles to advanced techniques such as auto-scaling and monitoring. Forget endless theory; you’ll engage in practical labs that will see you setting up your AWS and Kubernetes environments from the get-go.

You will start with configuring your AWS and Kubernetes environment, progressing on to deploying workloads, managing networking with the AWS ALB Ingress Controller, enabling persistent storage, and securing access using IAM Roles for Service Accounts. We’ll also explore essential scaling strategies including the EKS Cluster Autoscaler, Horizontal Pod Autoscaler (HPA), and Vertical Pod Autoscaler (VPA). For the forward-thinking engineer, advanced solutions such as Karpenter for real-time node provisioning and KEDA for event-driven scaling will be tackled.

As a culmination of this intensive bootcamp, you will equip yourself with the essential skills needed for production-ready EKS—prepared to build, scale, and monitor Kubernetes workloads on AWS effectively. You will leave this course not only with knowledge but with practical skills to ensure your Kubernetes clusters remain healthy and cost-optimized.

What you will learn:

• Set up and deploy Amazon EKS clusters from scratch
• Deploy applications on EKS using kubectl and manifests
• Configure Ingress with the AWS ALB Ingress Controller
• Attach EBS persistent 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
• Utilize Karpenter for next-gen cluster scaling solutions
• Implement KEDA for event-driven auto-scaling scenarios
• Monitor and troubleshoot EKS clusters using Prometheus, Grafana, and CloudWatch
• Optimize costs and performance of Kubernetes workloads on AWS

Course Content:

• Sections: 11
• Lectures: 25
• Duration: 12 hours

Requirements:

• Basic understanding of Kubernetes concepts (pods, deployments, services)
• AWS account with administrative access
• Familiarity with basic AWS services like EC2, IAM, and VPC
• Experience with command-line interface (bash or similar)

Who is it for?

• DevOps engineers and platform engineers running workloads on AWS
• Kubernetes administrators seeking to specialize in AWS EKS
• Cloud engineers wanting hands-on experience with native Kubernetes scaling and monitoring on AWS
• Anyone preparing for AWS DevOps or Kubernetes certifications focusing on EKS.

What are you waiting for to get started?

Enroll today and take your skills to the next level. Coupons are limited and may expire at any time!

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