# EKS Workshop

- **Website:** <https://eksworkshop.com>
- **Primary alias:** `eksworkshop.com`

## Description

Amazon EKS Workshop is an educational resource from Amazon Web Services designed to help users learn about Amazon Elastic Kubernetes Service through practical exercises. Its self-paced learning materials combine guided labs with modular learning paths, allowing participants to build familiarity with EKS at a pace and depth suited to their needs. The site offers Amazon EKS Essentials, with streamlined learning paths powered by Amazon EKS Auto Mode, as well as a comprehensive set of modules covering key EKS features and integrations. Topics include introductory concepts, fundamentals, observability, security, networking, automation, AI and machine learning, and troubleshooting. Learners can follow an accelerated path to explore EKS capabilities quickly or customize their studies by selecting the areas most relevant to their goals. The workshop also includes setup guidance and instructions for navigating its labs, with paths organized for developers, operators, and capability-focused learning. Through practical examples and accessible online materials, Amazon EKS Workshop supports hands-on learning for people exploring or working with Amazon’s managed Kubernetes service.

## Industries

- 🖥 Computers Electronics and Technology
- 🖥 Cloud Services and Computing _(under Computers Electronics and Technology)_
- 🧪 Science and Education

## Links

- [github](https://github.com/aws-samples)

## Logos & icons

- logo _(primary)_ — PNG, SVG — [download](https://cdn.brandfetch.io/idTAreQkrI/w/820/h/491/theme/light/logo.png?c=1bxid64Mup7aczewSAYMX&t=1793248498111)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Orange Peel | #ff9900 | accent |
| Blue Charcoal | #000716 | dark |
| Sapling | #dbcea3 | light |

## Fonts

- var(--ifm-font-family-base) — asset _(custom)_

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_Source: <https://brandfetch.com/eksworkshop.com>_
_See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._