CGP – Certified AI Governance Practitioner

Applied-level certification for AI governance in practice

The CGP certification is oriented toward professionals who participate in AI initiatives, risk assessments or oversight processes, and who need to work with governance frameworks, documentation and controls in day-to-day settings.

CGP at a glance
  • Applied-level focus on governance implementation in projects and oversight contexts.
  • Emphasizes documentation, cross-functional interaction and practical governance tasks.
  • Positioned between CGA (Analyst) and CAGL (Leader).
Who CGP is for Themes & Structure
Audience

Who CGP is intended for

CGP is designed for individuals who already engage with AI initiatives or governance tasks and need structured, practice-oriented orientation.

Practitioners
Risk, compliance & legal roles

For those who support AI-enabled initiatives from a risk, compliance or legal standpoint and need a consistent governance lens.

Certification pathway
Product & data
Product, data & technology functions

For those designing or supporting AI-enabled systems who need governance-aware framing.

Governance standards
Program & ops
Program, operations & governance roles

For professionals who coordinate AI initiatives, maintain governance documentation or support decision forums.

Leadership level – CAGL
Outcomes

What CGP aims to enable

Outcomes describe orientation, not job guarantees or mandated responsibilities.

Frameworks in practice

Ability to work with governance frameworks as they appear in projects, processes and review activities.

Documentation perspective

Understanding how documentation supports governance, within the rules and expectations of local institutions.

Cross-functional coordination

Awareness of governance tasks across legal, risk, engineering, product and other teams.

Ethics & oversight

Ability to identify where ethics and oversight considerations may arise in AI initiatives.

Structure

High-level structure of CGP themes

A conceptual outline, not a detailed syllabus.

Illustrative theme blocks
  • Applied governance frameworks for AI initiatives.
  • Risk & controls perspective with AI-enabled systems.
  • Documentation & artefacts supporting governance tasks.
  • Roles, forums & workflows in oversight processes.
  • Practice-oriented scenarios based on common AI use cases.
How themes may be delivered

Institutions and organizations may implement CGP-aligned content differently:

  • As part of advanced electives or modules.
  • As practitioner-focused upskilling for teams.
  • As a structured element of internal AI governance programs.
  • In alignment with legal, risk or technology capability-building.

Actual format and integration are determined by participating institutions and organizations.

Assessment

Assessment & exam orientation

Orientation only — final specifications are governed by exam policies.

Scenario-based assessment

Candidates analyze governance considerations in structured scenarios, within program boundaries.

Applied concept checks

Focus on applying governance concepts, not memorizing definitions.

Alignment with policies

Exam rules, formats and scoring follow IIAIG’s certification policies.

View exam policies
Pathway

How CGP fits in the certification pathway

CGP sits between CGA (foundation) and CAGL (leadership). Some begin at CGA; others may enter at CGP based on experience.

Positioning

Relationship to roles & qualifications

CGP complements degrees, training and experience but does not replace formal education, licenses or regulatory requirements.

Complementary orientation

CGP adds professional structure; interpretation is determined by institutions and employers.

Recognition & positioning
Local interpretation

Each organization or school decides how CGP is used in its own context.

Evolving description

Positioning will evolve along with the field and IIAIG updates.

Next steps

Considering CGP for yourself or your teams?

CGP is designed for applied governance roles. Choose the level that matches your experience.

Delivery formats, credit decisions and integration depend on participating institutions and organizations.