NEVADA | PROFESSIONAL EXPERIENCE

Program Professional Framework

Certificate in AI Governance

Program Overview

Many organizations now run dozens of AI tools, from vendor chatbots to in-house models, without a clear owner or approval process. This course focuses on building the internal governance operating model that brings them under control: an AI policy and acceptable-use rules, an inventory of AI systems, risk tiering and approval gates, roles for a governance committee, and controls aligned with an AI management system under ISO/IEC 42001. Participants learn how to embed AI risk into existing enterprise risk, data protection and procurement processes and how to report AI governance status to executives, drawing on SDAIA and UAE guidance on responsible AI.

Learning Outcomes

✓Draft an organizational AI policy and acceptable-use standard covering staff use of generative AI tools.
✓Build an AI system inventory with owners, purposes, data used and risk tier for each system.
✓Design an approval and review workflow with gates for high-risk AI use cases.
✓Define terms of reference and decision rights for an AI governance committee.
✓Map required controls to the clauses of an ISO/IEC 42001 AI management system.
✓Prepare a quarterly AI governance report for senior management with key risk indicators.

Target Audience

Governance, risk and compliance managers
Chief data officers and data governance leads
IT governance and information security managers
Legal and policy advisors responsible for technology

Detailed Program Modules

01Why Organizations Need AI Governance

Shadow AI and uncontrolled adoption
Regulatory and reputational drivers
Responsible AI principles in the Gulf region

02Policy and Acceptable Use

Structure of an AI policy
Rules for staff use of generative AI
Procurement clauses for AI products

03AI Inventory and Risk Tiering

Discovering and registering AI systems
Risk classification criteria
Linking AI risk to enterprise risk registers

04Governance Structures and Approval Gates

AI governance committee roles
Review and approval workflow design
Escalation and exception handling

05AI Management System Controls

ISO/IEC 42001 structure and requirements
Data protection and privacy controls
Documentation, testing and monitoring evidence

06Assurance and Reporting

Internal audit of AI governance
AI governance KPIs and reporting
Continuous improvement of the framework

Training Methodology

Interactive expert-led sessions grounded in workplace examples

Case studies and practical exercises drawn from the region

Group workshops with peer review of decisions and deliverables

Formative feedback against clear performance criteria

Applied Project & Assessment

Applied Project

Participants produce an AI governance starter kit for their organization: AI policy outline, inventory template populated with sample systems, risk tiering criteria, approval workflow, committee terms of reference and a first management report.

Assessment

Short diagnostic at the start, practical tasks linked to each learning outcome, and evaluation of the applied project against published criteria.

University Certificate & International Accreditation

Professional Certificate accredited by Universiti Teknologi Malaysia (UTM) in Certificate in AI Governance

International accreditation: American Association of Innovation (AAI)