Running Containers on Amazon Elastic Kubernetes Service

Amazon EKS makes it easy for you to run Kubernetes on AWS without needing to install, operate, and maintain your own Kubernetes control plane.  You will learn container management and orchestration for Kubernetes using Amazon EKS. 

You will build an Amazon EKS cluster, configure the environment, deploy the cluster, and then add applications to your cluster. You will manage container images using Amazon Elastic Container Registry (ECR) and learn how to automate application deployment. You will deploy applications using CI/CD tools. You will learn how to monitor and scale your environment by using metrics, logging, tracing, and horizontal/vertical scaling. You will learn how to design and manage a large container environment by designing for efficiency, cost, and resiliency. You will configure AWS networking services to support the cluster and learn how to secure your Amazon EKS environment.  

3 Day / 24 Hours

Live Class

Certificate on completion


Choose a date


Here’s what this AWS course will include:

  • Instructor lectures
  • Group presentations
  • Hands-on labs
  • Demonstrations


To qualify for taking up this course, you’ll need the following: 

  • Amazon Elastic Kubernetes Service completed (EKS) Primer
  • AWS Cloud Practitioner Essentials certification obtained (or equivalent real-world experience)
  • Basic familiarity with Linux administration
  • Basic knowledge of network management
  • Basic understanding of micro-services and Containers

Intended Audience

You can take on this course if you belong to the following category of individuals:

  • Anyone who will handle container orchestration on the AWS Cloud, such as systems administrators and DevOps engineers


Here’s what you’ll learn in this course: 

  • Describe the principles of Amazon EKS and Kubernetes and the effects of containers on workflows.
  • By choosing the appropriate computational resources to support worker nodes, construct an Amazon EKS cluster.
  • To secure your environment, utilize Kubernetes Role Based Access Control (RBAC) authorization with AWS Identity and Access Management (IAM) authentication.
  • Install a program on the cluster. Upload container images to Amazon ECR, then use IAM policies to control access.
  • Utilize pipelines and automated methods to deploy apps. Use WeaveFlux to construct a GitOps pipeline.
  • To find metrics for performance optimization, utilize AWS X-Ray to gather monitoring data from metrics, logs, and tracing. Examine situations when bottlenecks call for the optimal horizontal or vertical growth strategy.
  • Analyze the trade-offs between cost, resilience, and efficiency, as well as the effects of prioritizing one over the others. Describe and sketch a comprehensive, iterative strategy for improving your surroundings—plan with cost, effectiveness, and resilience in mind.
  • AWS networking services should be configured to accommodate the cluster. Describe the support and ease of inter-node communication provided by Amazon Virtual Private Cloud (VPC) for Amazon EKS clusters. Describe the VPC Container Network Interface\’s purpose (CNI). Look at the advantages of a service mesh.
  • Upgrade Amazon EKS, Kubernetes, and other technologies.

Module 0: Course Introduction

  • Course preparation activities and agenda

Module 1: Kubernetes Fundamentals

  • Container orchestration
  • Kubernetes objects
  • Kubernetes internals

Module 2: Amazon EKS Fundamentals

  • Introduction to Amazon EKS
  • Amazon EKS control plane
  • Amazon EKS data plane
  • Fundamentals of Amazon EKS security
  • Amazon EKS API

Module 3: Building an Amazon EKS Cluster

  • Configuring your environment
  • Creating an Amazon EKS cluster
  • Demo: Deploying a cluster
  • Deploying worker nodes
  • Demo: Completing a cluster configuration
  • Preparing for Lab 1: Building an Amazon EKS Cluster

Module 4: Deploying Applications to Your Amazon EKS Cluster

  • Configuring Amazon Elastic Container Registry (Amazon ECR)
  • Demo: Configuring Amazon ECR
  • Deploying applications with Helm
  • Demo: Deploying applications with Helm
  • Continuous deployment in Amazon EKS
  • GitOps and Amazon EKS
  • Preparing for Lab 2: Deploying Applications

Module 5: Configuring Observability in Amazon EKS

  • Configuring observability in an Amazon EKS cluster
  • Collecting metrics
  • Using metrics for automatic scaling
  • Managing logs
  • Application tracing in Amazon EKS
  • Gaining and applying insight from observability
  • Preparing for Lab 3: Monitoring Amazon EKS

Module 6: Balancing Efficiency, Resilience, and Cost Optimization in Amazon EKS

  • The high level overview
  • Designing for resilience
  • Designing for cost optimization
  • Designing for efficiency

Module 7: Managing Networking in Amazon EKS

  • Review: Networking in AWS
  • Communicating in Amazon EKS
  • Managing your IP space
  • Deploying a service mesh
  • Preparing for Lab 4: Exploring Amazon EKS Communication

Module 8: Managing Authentication and Authorization in Amazon EKS

  • Understanding the AWS shared responsibility model
  • Authentication and authorization
  • Managing IAM and RBAC
  • Demo: Customizing RBAC roles
  • Managing pod permissions using RBAC service accounts

Module 9: Implementing Secure Workflows

  • Securing cluster endpoint access
  • Improving the security of your workflows
  • Improving host and network security
  • Managing secrets
  • Preparing for Lab 5: Securing Amazon EKS

Module 10: Managing Upgrades in Amazon EKS

  • Planning for an upgrade
  • Upgrading your Kubernetes version
  • Amazon EKS platform versions

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Yes, we are an AWS Advanced Tier Training Partner

Anyone who wants to start a profession in AWS cloud is fit to enroll in this course. No prior knowledge of coding or other technical skills is required.

To enroll in this course, choose the starting date and make an online payment. Once your payment is confirmed, our team will reach out to you.

You may reach out at the contact number listed on our official website or write to us at

Wire Transfer, Credit Card, Debit Card, UPI & Purchase Order

There is no minimum number of candidates required, we are happy to train 1 to 1 should you wish. With regard to the maximum number, we can accommodate 30 learners in one batch.

1. Training delivered by an Amazon Authorised Instructor
2. AWS Content E-Kit
3. Hands-on labs- 30 days
4. Class attendance certificate

You will get the access to course content & lab on first day of your training session.

The course completion certificate will be issued to your email id within 2 weeks of completing your course.

A one-day course could be delivered over two half day sessions (4 hours a day), or a three-day course could be delivered over five days (4 hours a day).


Running Containers on Amazon Elastic Kubernetes Service

3 Day / 24 Hours

Live Class

Certificate on completion


(Taxes Extra)

Choose a date


Here’s what this AWS course will include:

  • Instructor lectures
  • Group presentations
  • Hands-on labs
  • Demonstrations