The Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS) course provides learners with practical expertise in deploying, managing, and scaling containerized applications using Amazon EKS. This comprehensive course covers essential topics including Kubernetes fundamentals, Amazon EKS architecture, and container orchestration best practices in a secure and scalable manner.

The course includes hands-on labs and real-world examples to ensure learners can apply what they learn in live production environments. It places strong emphasis on critical areas such as security, networking, and observability—skills essential for modern cloud-native application deployment.

The course covers key areas such as:

• Container and Kubernetes Fundamentals: Understanding containers, Dockerfiles, Kubernetes architecture, and key objects.
• Amazon EKS Control Plane and Cluster Setup: Managing clusters using eksctl, IAM roles, and integrating EKS with AWS services.
• Application Deployment: Using Amazon ECR, Helm, and CI/CD pipelines to deploy and update containerized applications.
• Security Best Practices: Enforcing RBAC, IAM roles for service accounts, secrets management, and auditing with CloudTrail.
• Networking and Service Meshes: Managing pod networking, service discovery, and integrating AWS App Mesh for service-to-service communication.
• Observability and Monitoring: Setting up logging and metrics using tools like CloudWatch, Prometheus, and Fluent Bit.
• Optimization Techniques: Resource management, autoscaling, cost tagging, and building resilient systems.

By the end of this course, learners will be equipped with the skills needed to confidently operate Amazon EKS in production environments.

Course Prerequisites

While this course includes foundational coverage, the following background knowledge will help ensure learner success:

• Basic understanding of cloud computing concepts, especially within AWS
• Familiarity with software development principles and application architecture
• Experience with containerization tools such as Docker, including writing Dockerfiles
• Proficiency with command-line interfaces (CLI) and basic shell scripting
• Introductory knowledge of Kubernetes concepts (e.g., pods, deployments, services)
• Fundamental networking concepts, including VPC, subnets, and routing
• Willingness to engage in hands-on labs for real-world application

Target Audience

This course is designed for cloud professionals and technical roles seeking to manage containerized workloads at scale using Kubernetes on AWS:

• Cloud Architects
• DevOps Engineers
• Software Developers
• Systems Administrators
• IT Managers
• Technical Leads
• Solution Architects
• Cloud DevOps Practitioners
• Infrastructure Engineers
• Application Support Specialists
• Network Engineers focusing on cloud infrastructure
• Security Specialists exploring container security
• QA Engineers and Testers working with CI/CD pipelines
• Technical Project Managers overseeing container-based deployments
• Data Engineers deploying applications in Kubernetes environments

Why Choose us

⭢ Live Online Training (Duration : 24 Hours)

⭢ Guaranteed to run classes

⭢ Experienced & certified trainers

⭢ Query Handling session

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Learning Objectives

After completing the Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS) course, learners will be able to:

• Understand core container concepts and how to build Docker images and manage container lifecycles.
• Master Kubernetes architecture, including the control plane, worker nodes, and key resources.
• Deploy and operate Amazon EKS clusters using AWS best practices.
• Configure networking in EKS clusters, including pod-to-pod communication and service discovery.
• Integrate Kubernetes with AWS IAM for secure access control and implement RBAC.
• Manage secrets and enforce compliance using tools like AWS Secrets Manager and AWS CloudTrail.
• Deploy applications to EKS using Amazon ECR, Helm charts, and continuous deployment tools.
• Monitor and troubleshoot clusters using CloudWatch, Prometheus, and Fluent Bit.
• Optimize cost, resource allocation, and system resilience within EKS clusters.
• Implement advanced networking with service meshes like AWS App Mesh for microservice communication.
• Prepare for EKS-focused certification and apply best practices for production-ready deployments.