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Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS) Course Overview

Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS) Course Overview

The Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS) course is designed to equip learners with the skills necessary to deploy, manage, and scale containerized applications using Amazon EKS. Covering a range of topics from Container Fundamentals to Managing Upgrades in Amazon EKS, the course is comprehensive and provides hands-on labs to reinforce learning.

Learners will gain a deep understanding of containers, Kubernetes, and the specifics of Amazon EKS, which will prepare them for real-world application deployment. The course also emphasizes Security, networking, and observability within EKS environments, crucial for maintaining robust and efficient systems. By the end of this AWS EKS course, participants will have the practical knowledge needed for EKS certification, positioning them to effectively utilize Amazon EKS in their cloud-native development projects.

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Course Prerequisites

Certainly! To ensure a productive and engaging learning experience in the Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS) course, participants should have the following minimum prerequisites:


  • Basic understanding of cloud computing concepts, particularly within the AWS ecosystem.
  • Familiarity with the fundamental principles of software development and application architecture.
  • Basic knowledge of containerization technologies, specifically Docker, including the ability to write simple Dockerfiles.
  • Experience with command-line interfaces (CLI) and shell scripting.
  • A fundamental understanding of networking concepts, such as Virtual Private Cloud (VPC), subnets, and routing.
  • An introductory level of understanding of Kubernetes concepts, although deep expertise is not required.
  • Willingness to engage in hands-on labs and practical exercises to consolidate learning.

Please note that while prior experience with AWS services and Kubernetes will be beneficial, the course is designed to cover foundational knowledge and guide learners through more advanced topics.


Docker Fundamentals
Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS)
Advanced Kubernetes

Target Audience for Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS)

  1. The course offers deep insights into deploying applications using Amazon EKS, targeting IT professionals with an interest in containerization and Kubernetes.


  • Cloud Architects
  • DevOps Engineers
  • Software Developers
  • Systems Administrators
  • IT Managers
  • Technical Leads
  • Solution Architects
  • Cloud DevOps Practitioners
  • Infrastructure Engineers
  • Application Support Specialists
  • Network Engineers with a focus on cloud infrastructure
  • Security Specialists interested in container security
  • Quality Assurance Engineers and Testers involved in CI/CD pipelines
  • Technical Project Managers overseeing cloud-based projects
  • Data Engineers looking to deploy data-centric applications in Kubernetes environments


Learning Objectives - What you will Learn in this Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS)?

Introduction to Learning Outcomes

Gain practical skills and in-depth knowledge to deploy and manage containerized applications on Amazon EKS, focusing on security, networking, scalability, and cluster optimization.

Learning Objectives and Outcomes

  • Understand the design principles for building scalable and resilient containerized applications.
  • Learn the fundamentals of containers, including writing Dockerfiles and container lifecycle management.
  • Master the core concepts of Kubernetes, including its architecture, control plane, worker nodes, and key objects.
  • Operate Amazon EKS, managing the Kubernetes control plane, security configurations, and integrating with AWS services.
  • Build an Amazon EKS cluster utilizing AWS best practices for IAM, VPC, and eksctl tooling.
  • Deploy applications to Amazon EKS using Amazon ECR, Helm charts, and continuous deployment methodologies.
  • Configure observability for Amazon EKS clusters to monitor, collect metrics, and manage logs for performance optimization.
  • Optimize the architecture of Amazon EKS applications for cost, efficiency, and resilience, including resource sizing and cost tagging.
  • Secure Amazon EKS clusters by integrating IAM with Kubernetes RBAC, managing secrets, and auditing with AWS CloudTrail.
  • Manage networking within Amazon EKS, ensuring efficient pod communication, service discovery, and integrating service meshes like AWS App Mesh.

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