This repository provides education and training documentation based on
AITL (Architecture for Integrated Technology Logic),
organized with ISO 9001–style competence management, structured training, and clear responsibility separation in mind.
It defines how AITL-related knowledge is trained, verified, and maintained from an education and competence assurance perspective.
| Language | GitHub Pages 🌐 | GitHub 💻 |
|---|---|---|
| 🇺🇸 English |  |
 |
The purpose of this repository is to:
- 🎯 Define training objectives and competence requirements for AITL-based design activities
- 🧭 Organize educational materials into a traceable, auditable training structure
- 📘 Support education and training aligned with ISO 9001 Clause 7.2 (Competence)
- 🛡 Enable organizations to adopt AITL without compromising design responsibility or accountability
This repository covers:
- 📜 Training policy and educational principles
- 🧱 Training architecture and learning paths
- 👥 Role-based training plans
- 📝 Training records and verification criteria
- 🔄 Concepts for continuous improvement and corrective actions
This repository does not replace or duplicate:
- Physical modeling
- Control system design
- Implementation repositories
- Proof-of-concept (PoC) or experimental systems
These remain the Single Source of Truth (SSOT) within the main Samizo-AITL repositories.
The directory structure itself reflects the AITL education and competence framework.
00_Policy/- Defines non-negotiable principles, responsibility separation, and education policy
- 🔖 Top-level reference aligned with ISO 9001 Clause 7.2
01_Training_Architecture/- Defines the ordered learning structure
(Physical → Control → Intelligence → Boundary & Recovery) - 🧠 Ensures causal, responsibility-preserving education
02_Training_Plan/- Role-specific competence definitions and learning scope:
- 🛠 Design Engineer
- 🎛 Control Engineer
- 🤖 AI System Architect
- 🧑💼 (Optional) Engineering Manager
- 📌 Specifies what must be understood and explained, not how to implement
03_Training_Record/- Templates for objective evidence of training and competence
- 🗃 Supports audits, reviews, and traceability
04_Verification/- Defines competence verification criteria
- ✅ Confirms understanding, judgment, and accountability
- 🚫 Prevents unsafe delegation to AI or automated tools
05_Improvement/- Concepts for continuous improvement and corrective actions
- 📈 Supports ISO 9001 Clause 10 (Improvement)
99_Reference/- 🔗 Links to main Samizo-AITL repositories
- 🏷 Declares the Single Source of Truth
- ❌ No original technical content is created here
AITL is based on a strict separation of responsibilities:
- ⚡ Real-time control: PID / FSM
- 🔁 Adaptive assist: NN / RL (bounded and supervised)
- 🧩 Design-time intelligence: LLM (non-real-time use only)
This repository documents how these architectural principles are taught, understood, and verified,
not how they are technically implemented.
This repository is intended for:
- 🎛 Control system designers
- 🧪 Semiconductor and MEMS engineers
- 🤖 AI-assisted system architects
- 🧑💼 Engineering managers responsible for education, training, and competence management
🚧 This is not an introductory tutorial.
It assumes prior engineering knowledge and focuses on design responsibility and competence assurance.
| 📌 Item | Details |
|---|---|
| Name | Shinichi Samizo |
| Expertise | Semiconductor devices (logic, memory, high-voltage mixed-signal) Thin-film piezo actuators for inkjet systems Printhead productization, BOM management, ISO training |
| GitHub |  |
| 📌 Item | License | Description |
|---|---|---|
| Source Code | MIT License | Free to use, modify, and redistribute |
| Text Materials | CC BY 4.0 or CC BY-SA 4.0 | Attribution required; share-alike applies for BY-SA |
| Figures & Diagrams | CC BY-NC 4.0 | Non-commercial use only |
| External References | Follow the original license | Cite the original source properly |
💡 Suggestions, improvements, and discussions are welcome via GitHub Discussions.
