AI Agent Roadmap

A central learning path and knowledge database for developers who want to understand, build, evaluate, secure, and deploy AI agents.

This repository is designed as a GitHub Pages documentation website powered by MkDocs Material. It follows the learning workflow of the roadmap.sh AI Agents roadmap and expands it with deeper notes, examples, projects, diagrams, checkpoints, and curated resources.

Website Structure

• docs/index.md - landing page and starting point
• docs/roadmap.md - visual roadmap and stage sequence
• docs/stages/ - staged AI agent learning path
• docs/reference/ - glossary, resources, and best practices
• docs/assets/ - diagrams, images, PDFs, and downloads

Contributing

Before adding or updating stage pages, read CONTRIBUTING.md. It explains where to add Markdown files, how to link new pages, and how to verify the site before pushing.

Local Development

pip install -r requirements.txt
mkdocs serve

Then open http://127.0.0.1:8000.

Deployment

The site is intended for GitHub Pages:

https://AceronX.github.io/ai-agent-roadmap/

Pushes to main deploy the MkDocs site through the GitHub Actions workflow in .github/workflows/deploy.yml.