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Executive
AI Leadership

Strategy, governance, and capital allocation for C-suite and board-level leaders - eight modules, self-paced, fully online.

Enroll for Executive AI Leadership
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. Personalized 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
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
Included Practical Resources

Resources to Turn Strategy Into Action

Participants receive a practical implementation toolkit they can refer to throughout the program and use afterward to apply the learning across their organization.

  1. 90-Day Executive AI Action Plan and Roadmap Template Translate strategic priorities into an accountable first 90 days and a longer-term enterprise roadmap.
  2. AI Operating Model and Decision-Rights Canvas Define ownership, governance forums, escalation routes, and enterprise ways of working.
  3. AI Opportunity Portfolio, Business Case, and ROI Templates Compare investments, test value assumptions, and govern initiatives from pilot to scale.
  4. Executive AI Risk Register, Controls Map, and Incident Playbook Identify material exposures, assign controls, and establish clear escalation and response paths.
  5. Build-Buy-Partner Framework and Vendor Due Diligence Checklist Evaluate sourcing options, third-party accountability, data risk, and enterprise readiness.
  6. Board Oversight Dashboard and Director Question Guide Structure board reporting, decision thresholds, accountability, and effective challenge.
  7. AI Standards and Regulation Reference Guide Navigate ISO/IEC 42001, NIST AI RMF, the EU AI Act, and Australian governance considerations.
  8. Workforce, Transformation, and Stakeholder Change Plan Plan capability, communication, adoption, and organizational change around AI-enabled work.
Tuition
USD$1,860

All-inclusive. Covers program learning materials, the practical implementation toolkit, faculty feedback, the formally issued AIACI™ certificate, LinkedIn-shareable digital badge, direct academic support, and the initial three-year credential term. Renewal after that term requires the current AIACI renewal module, renewal assessment, and applicable renewal fee.

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