Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS) Course Overview
- Duration: 24 Hours
- Exam Voucher: Yes
- Language: English
- Course Delivery : E - Learning Access
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Course Overview
The Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS) Course equips professionals with the expertise to deploy, manage, and scale containerized applications leveraging Amazon EKS. The curriculum covers container fundamentals, Kubernetes architecture, EKS cluster setup and management, security practices, networking, and observability. Through hands‑on labs and real‑world scenarios, participants develop the skills to operate robust Kubernetes environments on AWS and apply best practices for cloud‑native deployments.
Course Details
- Understand containerization and Kubernetes orchestration fundamentals
- Gain practical experience configuring and managing EKS clusters
- Master deployment patterns for scalable cloud native applications
- Learn network, security, and observability principles within Kubernetes on AWS
- Strengthen DevOps integration skills for continuous delivery pipelines
- Prepare for cloud native application roles with Kubernetes expertise
- Suitable for DevOps engineers, cloud engineers, platform engineers, and professionals managing containerized applications
- Familiarity with Linux, Docker, and basic AWS services is recommended
- Prior exposure to Kubernetes fundamentals enhances learning outcomes
- No mandatory certification required, though foundational cloud or container experience is beneficial
- Explain containerization concepts and Docker usage
- Define Kubernetes architecture and workload orchestration principles
- Configure and provision Amazon EKS clusters with AWS integration
- Deploy containerized applications using Kubernetes manifests and tools
- Implement networking, storage, and security best practices in EKS
- Monitor and observe cluster health and application performance
- Troubleshoot common operational challenges in Kubernetes environments
- Introduction to containerization and Docker fundamentals
- Kubernetes architecture: nodes, pods, services, and controllers
- Amazon EKS setup and cluster lifecycle management
- Application deployment, scaling, and release strategies
- Networking, load balancing, and service discovery
- Security controls and identity integration in Kubernetes
- Logging, monitoring, and observability for EKS workloads
- Hands on labs and real world container orchestration scenarios
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