Connect training programs with AI governance learning themes
This page provides a high-level orientation to how training providers, institutions and organizations may align learning programs with IIAIG’s AI governance themes through the Authorized Training Partner (ATP) concept. It describes an optional, conceptual framework for collaboration — not accreditation, certification or approval.
- Provides a conceptual framework for training alignment.
- Does not represent accreditation, endorsement or regulatory approval.
- Builds shared language for training providers supporting AI governance learning.
Why training providers explore the ATP concept
Training providers and learning organizations may choose to align with AI governance themes to support learners, enterprises and institutions that are building governance-aware capability. ATP provides shared orientation, not prescriptive rules.
Shared terminology
ATP alignment helps ensure that training programs use consistent AI governance terminology derived from IIAIG’s conceptual orientation.
Structured learning
Providers may organize learning pathways that connect foundational, practitioner and leadership-level perspectives in a coherent manner.
Flexibility for providers
ATP is intentionally flexible and recognizes that each provider has its own delivery model, academic policies, quality controls and operational structures.
ATP is an orientation framework — it does not replace institutional policies, accreditation requirements or regulatory frameworks.
Illustrative ATP program models
Training partners can interpret IIAIG’s certification pathway (CGA → CGP → CAGL) to design aligned conceptual, applied or leadership-level learning experiences. These models are illustrative only.
- Introductory sessions building AI governance awareness.
- Conceptual orientation for students, early-career or cross-disciplinary learners.
- May align with CGA-level foundational themes.
- Workshops connecting governance themes to AI-enabled projects.
- Role-aware activities for data, product, engineering, risk and compliance teams.
- May align with CGP-level applied themes.
- Governance-oriented conversations for senior leaders and committees.
- Case or scenario discussions exploring oversight considerations.
- May align with CAGL-level leadership themes.
Delivery format, pedagogy, assessment and recognition are defined by each training provider.
Who ATP programs may be relevant for
Training providers often engage diverse learner groups. ATP orientation helps maintain consistency across varying backgrounds.
Students & early-career learners
Learners seeking structured exposure to AI governance concepts in academic or professional settings.
CGA orientationProfessionals & practitioners
Individuals working with AI, risk, compliance, product, technology or operations.
CGP orientationLeaders & committees
Senior leaders and oversight forums engaging with AI-related governance decisions.
CAGL orientationCorporate learning teams
L&D teams designing governance-aware capability-building programs.
Enterprise programsHow training providers may interpret ATP orientation
Implementation depends entirely on a provider’s existing programs, faculty, accreditation pathways and delivery methods. The points below reflect typical considerations.
Program review
Identify where existing content aligns with conceptual, applied or leadership-level governance themes.
Curriculum adaptation
Map internal learning modules to foundational, practitioner or leadership-oriented governance concepts.
Delivery approach
Choose delivery models that suit local pedagogy — instructor-led, blended, asynchronous or workshop-based.
Providers maintain autonomy over academic quality, delivery, recognition and program operations.
ATP as a flexible orientation framework
The ATP concept enables providers to align their learning programs with AI governance themes in a structured yet flexible way. It supports consistency in language and orientation without imposing uniform design.
Exploring partnership conversations
Providers often begin by mapping their current training programs and identifying where AI governance concepts already appear. This supports informed discussions about orientation and alignment.
Implementation details depend on each training provider’s academic and operational frameworks.