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Documentation Registry

Artificial Intelligence Institute · artificialintelligenceinstitute.org

This repository is the public documentation registry of the Artificial Intelligence Institute. It contains the authoritative, versioned record of the Institute's charter, the specification of its single program of study — the AI Engineering Bootcamp — and the standards work that governs how AI engineering competency is defined, taught, assessed, and verified.

The registry exists for one reason: claims about graduates should be checkable. Every capability the Institute attributes to a graduate traces to a published module, a published assessment method, and a published rubric or specification in this registry.


1. Document identification scheme

Every governed document carries a registry identifier, a version, and a status.

Prefix Series Silo
AII-GOV Institutional governance institute/
AII-PS Program specification program/
AII-CS Competency standard competency-standard/
AII-INF Standards infrastructure infrastructure/
AII-EMP Employer guidance employers/
AII-TR Technical reports reports/

Status legend

Status Meaning
Ratified In force. Describes the program as currently operated.
Draft Under active revision; content is directional, not binding.
In Development Initiative-level work; interfaces and scope may change.
Illustrative Worked example published for transparency; not a live assessment instrument.

Document lifecycle rules are defined in GOVERNANCE.md. Controlled vocabulary is defined in GLOSSARY.md.


2. Registry map

2.1 Institutional governance — institute/

The Institute's charter, training doctrine, faculty model, and publication policy.

ID Document
AII-GOV-001 Charter
AII-GOV-002 Pedagogical Principles
AII-GOV-003 Faculty Model
AII-GOV-004 Academic Integrity Standard
AII-GOV-005 Publication Policy

2.2 Program specification — program/

The complete educational profile of the AI Engineering Bootcamp: 48 weeks, full time, four 12-week terms, 1,920 contact hours, cohorts of 24.

ID Document
AII-PS-001 Program Specification
AII-PS-002 Admissions Standard
AII-PS-003 Instructional Model
AII-PS-004 Assessment Methodology
AII-PS-005 Portfolio Requirements
AII-PS-006 Capstone Specification
AII-PS-007 Credential Specification
AII-PS-008 Learning Outcomes
Curriculum (Terms 1–4, AIE 101–495)

2.3 Competency standard — competency-standard/ · Status: In Development

An open, scenario-based evaluation standard for AI Engineer competency, including an explicit professional-judgment dimension.

ID Document
AII-CS-001 Design Goals
AII-CS-002 Competency Taxonomy
AII-CS-003 Scenario-Based Assessment
AII-CS-004 Ethics and Professional Judgment
AII-CS-005 Scoring Model
AII-CS-006 Prior Art Survey
Roadmap

2.4 Standards infrastructure — infrastructure/ · Status: In Development

The machinery that makes the standard operable and auditable: rubric authoring, grader calibration, reliability measurement, and versioning discipline.

ID Document
AII-INF-001 Rubric Authoring Standard
AII-INF-002 Grader Calibration Protocol
AII-INF-003 Inter-Rater Reliability
AII-INF-004 Scenario Authoring Guide
AII-INF-005 Versioning and Provenance
Rubric Library

2.5 Employer guidance — employers/

The interface for hiring managers, recruiters, and technical evaluators.

ID Document
AII-EMP-001 Evaluating a Graduate
AII-EMP-002 Capability Matrix
AII-EMP-003 Credential Verification
AII-EMP-004 Interview Guide
AII-EMP-005 Employer FAQ

2.6 Technical reports — reports/

Research-note register on assessment design and curriculum rationale.

ID Document
AII-TR-001 On the Validity of Scenario-Based Assessment
AII-TR-002 The Capstone Defense as a Hiring Signal
AII-TR-003 Curriculum Design Rationale

3. Reading paths

4. Contact

Admissions, syllabus requests, and credential verification: [email protected]

Releases

No releases published

Packages

 
 
 

Contributors