Educational AWS Gen AI Certification Prep — DevOps skill for Claude Code
Using AI (Kiro + Claude models) to generate educational content for the AWS Certified Generative AI Developer - Professional.
How to install Educational AWS Gen AI Certification Prep
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open michaelgarcia/educational-aws-gen-ai-certification-prep and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Educational AWS Gen AI Certification Prep does
Using AI (Kiro + Claude models) to generate educational content for the AWS Certified Generative AI Developer - Professional.
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README
Educational AI generated content for AWS Certified Generative AI Developer – Professional Prep
**⚠️ Disclaimer:** This generated exam is for educational and practice purposes only. It does not replace, nor supplement, nor is affiliated with official [AWS Training & Certification](https://aws.amazon.com/training/) materials. It was created as a way to use Generative AI for creating educational content.
An interactive 85-question prep exam for the [AWS Certified Generative AI Developer – Professional](https://aws.amazon.com/certification/certified-generative-ai-developer-professional/) certification, built using [Kiro](https://kiro.dev)'s spec-driven development workflow and Claude models.

Usage
Open `educational-prep-exam-aws-genai-pro.html` in any modern browser. No build step, no dependencies, no server required. Works offline once loaded.
git clone https://github.com/michaelgarcia/educational-aws-gen-ai-certification-prep.git
open educational-aws-gen-ai-certification-prep/educational-prep-exam-aws-genai-pro.html
The exam presents 85 multiple-choice questions across 5 domains with a 205-minute countdown timer. Select answers and click Validate to check your response with detailed justifications.
Replicating This Approach
The primary value of this project is the methodology. See [`METHODOLOGY_GUIDE.md`](METHODOLOGY_GUIDE.md) for the step-by-step workflow, and the [`specs/`](specs/) directory for the actual Kiro spec artifacts (requirements, design, tasks) used to build this project. The current methodology was built using barebone Claude and Kiro capabilities with prompting engineering, as a rapid proof of concept.
Project Structure
educational-aws-gen-ai-certification-prep/
├── specs/ # Kiro spec-driven development artifacts
│ ├── requirements.md # What to build (user stories, ac
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