> ## Documentation Index
> Fetch the complete documentation index at: https://docs.aio3.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Learning Paths

> Draft pathways organized by readiness and learning outcomes.

## Explorers — systems thinking

For learners beginning with digital literacy, problem-solving, logic, safe online behavior, and tangible STEM projects. Examples include simple circuits, computational thinking, and visual programming.

## Builders — development foundations

For learners ready to use text-based programming, basic command lines, version control, electronics, and collaborative projects. Suggested topics include Python, Linux concepts, Git, and sensors.

## Makers — applied AI and robotics

For learners comfortable with foundational programming. Suggested topics include APIs, model evaluation, local AI tools, microcontrollers, and supervised robotics projects.

## Advanced — infrastructure and agentic systems

For technically prepared learners. Suggested topics include Ubuntu environments, Docker, local model serving, structured data pipelines, tool-using agents, evaluation, and security.

<Warning>These are draft pathways, not enrollment offerings. Specific prerequisites, durations, equipment, assessment and supervision rules require pilot validation.</Warning>


## Related topics

- [Getting Started](/getting-started.md)
- [Curriculum Framework](/curriculum/overview.md)
- [Mentorship Approach](/mentorship/approach.md)
- [Research & Evidence](/research/overview.md)
- [AIO3 Documentation](/index.md)


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