# AI Learning System — Serdar Gündoğdu

> A public learning system connecting AI research, working applications, reproducible experiments, and an engineering journey. English and Turkish editions share the same projects and evidence.

## Start here
- [System overview](https://aserdargun.com/): Five layers and their learning relationships.
- [About Serdar](https://aserdargun.com/about/): Professional identity, career journey, working principles, and public contact links.
- [Journey](https://aserdargun.com/journey/): Learning path, six detailed stages, and the physical AI horizon with colony laboratories.
- [Application Map](https://aserdargun.com/applications/): Search projects by topic and layer; inspect release and research evidence.
- [Now](https://aserdargun.com/now/): Dated work and planned direction. Read its date before describing an item as current.
- [Knowledge](https://aserdargun.com/memory/): Authored public research notes and decisions with sources.
- [Portfolio registry](https://aserdargun.com/portfolio.json): Structured public application identities and relationships.
- [Application schema](https://aserdargun.com/schemas/aserdargun-app.schema.json): Public manifest contract.
- [Türkçe](https://aserdargun.com/tr/): Turkish overview; /tr/about/, /tr/journey/, /tr/applications/, /tr/now/, and /tr/memory/ provide matching editions.

## Reading the evidence
Research cutoffs, verification dates, release dates, and release SHAs describe different events. A missing value means unknown. Planned directions are not completed products. Diagram relationships describe how topics inform each other; they do not establish runtime integration. Private systems are linked as separate applications; their private records are not part of this public source.