Executive
AI Leadership
Strategy, governance, and capital allocation for C-suite and board-level leaders - eight modules, self-paced, fully online.
What it is
A self-paced, eight-module certification for senior executives responsible for AI decisions across the enterprise. Fully online, no live sessions, no fixed cohorts. Personalised faculty feedback on submitted work.
Who it's for
- C-suite and board members setting enterprise AI direction
- Chief Risk, Compliance, and Legal officers
- Heads of Transformation, Strategy, and Innovation
- Investors and non-executive directors shaping AI-native portfolios
Curriculum
Eight modules
Eight modules
One executive standard
01 AI Foundations, Strategy & Operating Models
- AI, Machine Learning and Generative AI: The Executive Landscape
- Identifying Where AI Creates Durable Competitive Advantage
- Designing the AI Operating Model: Centralized, Federated and Embedded Approaches
- Technology and Deployment Choices: Cloud, Private and Edge
- Executive AI Fluency: Judgment, Literacy and Emerging Regulatory Expectations
- From the First 90 Days to an Enterprise AI Roadmap
- Workforce Adoption, Operating Rhythms and Emerging Capabilities, Including AI Agents
02 AI Standards & Regulatory Frameworks
- The Global Regulatory Landscape: ISO/IEC 42001, NIST AI RMF and the EU AI Act
- Inside ISO/IEC 42001: Building a Certifiable AI Management System
- The EU AI Act: Risk Classifications, Obligations and Compliance Timelines
- Australia's AI Governance Environment: Guardrails, Privacy Reform and Government Standards
- One Enterprise Control Framework, Multiple Jurisdictions
- Third-Party AI and Vendor Accountability
03 Trusted Data & Decision Integrity
- Data as the Foundation of Trustworthy AI
- Linking Data Quality to Financial Performance
- Evaluating AI Outputs: A Framework for Executive Scrutiny
- Achieving AI-Ready Data: Quality, Lineage and Provenance
- Data Governance as an Enterprise Operating Model
- Monitoring, Reporting and Safeguarding Customer Trust
04 AI Risk Management, Assurance & Resilience
- The Executive AI Risk Landscape: Six Core Exposures
- AI Security: Managing the New Attack Surface
- Assurance Frameworks That Satisfy Boards, Regulators and Auditors
- Human Oversight and the Path to Autonomy
- Guardrails, Safety Nets and Designing for Failure
- Incident Response, Recovery and Organizational Resilience
05 AI Investment Strategies
- AI as a Capital Allocation Discipline
- Build, Buy or Partner: Sourcing Strategies and Stage Gates
- Constructing Investment-Grade AI Business Cases
- Measuring Return: A Practical ROI Framework for AI
- Scaling from Pilot to Profit and Loss
- Portfolio Governance and Value Realization
06 Board Oversight & Accountability
- The Board's Role in the Age of AI
- Directors' Duties, Oversight Structures and AI Expertise
- What Boards Must Know, Approve and Demand
- Executive Accountability and Clear Ownership
- Board Reporting: Dashboards, Metrics and Escalation Thresholds
- The Questions Every Director Should Ask
07 Enterprise Transformation, Talent & Change
- Leading AI-Driven Organizational Transformation
- Designing AI Teams and Enterprise Structures
- Decision Rights, Governance and Ways of Working
- Talent Strategy: Build, Buy, Borrow and Redeploy
- Structured Change Management for AI Adoption
- Adaptive Leadership and Building a Learning Culture
08 Ethics, Trust & Reputation
- Trust as a Strategic Asset
- From Principles to Practice: Ethics Backed by Controls and Evidence
- Recognizing and Preventing Common AI Failure Patterns
- Transparency, Explainability and Recourse
- Protecting Reputation and Stakeholder Confidence at Scale
Tuition
Enrol
USD$1,280
All-inclusive. Covers learning materials, faculty feedback, the formally issued AIACI™ certificate, LinkedIn-shareable digital badge, direct academic support throughout, and annual recertification at no extra cost.