AI Excellence for Executives | American University of Sharjah

About the Program

Lead AI Transformation Through a Structured Framework for Excellence

Artificial intelligence is no longer simply a technology or digital transformation initiative. It is reshaping strategy, operating models, workforce, economics and competitive advantage while creating new questions around governance, sovereignty, security, trust and accountability. For boards and executive teams, AI has become a core enterprise leadership agenda.

Designed by AUS Executive Education and Professional Development (EEPD) in collaboration with the Global Centre for AI Excellence (GCAIE), this executive program equips C-level executives, board members and senior leaders with the frameworks and practical tools needed to lead AI transformation at enterprise scale. Built around the Global AI Excellence Model (GAIEM), the program helps participants evaluate AI opportunities and investments, assess organizational readiness and maturity, navigate emerging technology and model choices, strengthen governance and risk oversight and translate AI ambition into measurable institutional value.

Through case-based discussions, executive simulations and practical exercises, participants will examine the decisions shaping the AI enterprise—including open versus closed model strategies, build-buy-partner choices, agentic and autonomous systems, AI sovereignty, token and inference economics, operating model implications and value realization. Participants will apply SCALE logic to assess readiness and develop an AI Excellence Playbook to guide responsible, secure, economically sustainable and scalable AI adoption.

Why This Program Now?

  • AI adoption is advancing faster than organizational readiness. Organizations are moving from generative AI experimentation to enterprise-scale deployment and agentic systems, often before governance, capabilities, economics and operating models are fully prepared.
  • AI is now a strategic leadership priority. It affects competitiveness, governance, risk, trust, security and long-term value creation.
  • Executives are making increasingly consequential AI choices. Leaders must determine where AI can create value, which capabilities to own or source, which models and platforms to adopt, appropriate levels of autonomy and where to invest.
  • AI excellence requires an integrated enterprise approach. Strategy, leadership, governance, data, technology, execution, workforce capabilities, economics and value realization must work together as one management system.
  • Moving from experimentation to scale requires informed leadership and disciplined economics. Organizations need structured approaches to assess maturity, prioritize investments, understand token and inference economics, manage model and vendor dependencies and scale AI responsibly.
  • The challenge is not simply to adopt AI, but to build lasting institutional capability. This requires moving beyond isolated tools and use cases towards resilient, sovereign-aware, secure and scalable AI capabilities that deliver measurable value.

Skills You Will Develop

AI STRATEGY AND VALUE CREATION

Align AI opportunities with organizational priorities, leadership goals and enterprise readiness

EXECUTIVE AI DECISION MAKING

Evaluate AI opportunities, investment options, governance choices and risk implications

AI EXCELLENCE FRAMEWORK APPLICATION

Apply the GAIEM framework to assess readiness, identify AI excellence opportunities and shape scale-up decisions

AI MATURITY AND READINESS ASSESSMENT

Assess AI maturity across strategy, data, technology, operating model, risk and governance capability

RESPONSIBLE, SOVEREIGN AND SECURE AI GOVERNANCE

Evaluate responsible AI, governance, ethical, sovereignty, security and trust requirements

AI TRANSFORMATION PLANNING

Create an actionable AI Excellence Playbook that sets priorities, initiatives, sequencing and governance

Who Should Attend?

Ideal Candidates:

  1. Executives, board members and senior leaders
  2. Government, strategy, innovation and transformation leaders
  3. Risk, governance, compliance and technology leaders

Curriculum Structure

5 core modules covering the essential dimensions of organizational AI excellence

3-Day Program Flow

DAY 1

Fundamentals of AI Excellence

FUNDAMENTALS OF AI EXCELLENCE CERTIFICATE (GCAIE-FE)

Theme: The Evolution of Intelligence, from Machine Learning to Superintelligence

Key Outcome: Gain a deep, contextual understanding of AI's evolution, technological foundations, AI systems, data lifecycles, model behavior, and the forces driving excellence, safety and competitiveness worldwide.

Day 2

Mastering the Global AI Excellence Model (GAIEM)

CERTIFIED AI EXCELLENCE PRACTITIONER (GCAIE-P)

Theme: Frameworks, Criteria and Application Mastery

Key Outcome: Achieve operational fluency in GAIEM, mastering how to interpret data, apply scoring logic, generate actionable insights aligned with global standards, and conduct structured self-assessments with governance interventions, and AI adoption from pilot to scale.

Day 3

Assessment Simulation and Calibration

CERTIFIED AI EXCELLENCE ASSESSOR (GCAIE-A)

Theme: Practicing Real-World Evaluation 

Key Outcome: Learn how to translate the GAIEM framework into a practical application by embedding AI excellence practices into organizational programs, processes and strategies.

5 Core Modules

AI FOUNDATIONS AND STRATEGIC VALUE

  • Evolution from predictive and generative AI to reasoning, agentic and autonomous systems
  • Foundation and multimodal models, capabilities, limitations and uncertainty
  • Open versus closed model strategies and build-buy-partner-orchestrate choices
  • AI sovereignty, strategic dependencies, model optionality and vendor lock-in
  • AI value chain, strategic value and competitive advantage
  • AI economics, tokenomics, total cost of ownership and value per AI outcome

THE GAIEM FRAMEWORK FOR AI EXCELLENCE

  • GAIEM principles, pillars and criteria
  • Leadership, AI ambition and enterprise strategy alignment
  • Governance, accountability, execution and organizational capabilities
  • Enterprise AI operating models and decision rights
  • AI portfolio governance and capital allocation
  • Value realization and evidence of excellence for boards and executives

AI MATURITY AND READINESS

  • SCALE maturity logic and evidence-based assessment
  • AI ambition versus current-state maturity
  • Data, technology, talent, governance and operating model readiness
  • Readiness for generative and agentic AI
  • Architecture, infrastructure, model and platform dependencies
  • Human-AI workforce readiness, sovereignty and resilience
  • Translating maturity gaps into prioritized actions for enterprise scale

AI STRATEGY, DECISION MAKING AND GOVERNANCE

  • AI ambition, strategic choices and portfolio prioritization
  • Model, platform, cloud and build-buy-partner decisions
  • AI investment cases, risk-adjusted value, AI FinOps and portfolio ROI
  • Responsible AI, ethics, security, privacy and data governance
  • Agentic AI governance, autonomy, human oversight and runtime controls
  • Sovereignty, resilience, concentration risk and third-party dependencies
  • Executive accountability and board oversight

AI TRANSFORMATION AND EXCELLENCE PLAYBOOK

  • AI North Star, strategic agenda and investment thesis
  • AI operating model, governance and platform strategy
  • Model portfolio, data strategy and technology dependencies
  • Agentic enterprise and human-AI workforce transformation
  • Capability, talent, sourcing and partnership strategy
  • Priority value domains, benefits tracking, AI P&L and cost governance
  • Scaling high-value AI initiatives and stopping low-value experimentation
  • First-year AI transformation roadmap

Learn from leading academics, AI practitioners and industry experts.

Dr. Fadi Aloul
Professor
Dr. Fadi Aloul
Department of Computer Science and Engineering
Expertise: Cyber Security, Mobile Applications, Innovative Education, Smart Cities and Design Optimization
Dr. Ziad Hunaiti
AI EXECUTIVE EDUCATOR | EXECUTIVE COACH
Dr. Ziad Hunaiti
Global Centre for AI Excellence (GCAIE) | Brunel University of London
Expertise: AI Strategy and Excellence, Generative and Agentic AI, AI Governance and Risk, Organizational AI Readiness, Executive Education and Coaching
Dr. Yousef Qteit
Chief Strategy Officer | National Transformation Leader | Senior Trainer
Dr. Yousef Qteit
Global Centre for AI Excellence (GCAIE)
Expertise: AI Governance, AI Strategy and Transformation, Institutional Readiness, AI Maturity Assessment, Value Realization and Executive Decision Making
Dr. Mohammad Daoud
Strategic AI Executive | Associate Professor | Co-Founder
Dr. Mohammad Daoud
Global Centre for AI Excellence (GCAIE)
Expertise: AI Transformation, AI Strategy and Governance, Digital Resilience, Cybersecurity, FinTech Innovation and Technology Leadership

CERTIFICATION AND RECOGNITION

This program develops the knowledge and practical capabilities required to assess organizational AI readiness and support responsible AI transformation using the GAIEM framework (CERTIFIED AI EXCELLENCE ASSESSOR: GCAIE-A)

Certification is awarded based on fulfilment of the program requirements:

  • Certificate of Completion: Awarded to participants who successfully meet both the attendance and assessment requirements
  • Certificate of Attendance: May be awarded to participants who meet the attendance requirement but do not successfully complete the assessment requirements

Upon successful completion of the program requirements, participants will also receive a digital badge for professional networks.

Issued By:

American University of Sharjah in collaboration with Global Center of AI Excellence (GCAIE)

Delivery Mode

In-person

Completion Requirements

To successfully complete the program and qualify for certification, participants must:

  • attend a minimum of 90 percent of the executive classroom sessions
  • actively participate in case discussions, executive simulations and group exercises
  • complete the SCALE-based AI readiness and maturity activity
  • develop, submit, present, and discuss the final AI Excellence Playbook, including AI priorities, governance actions, capability needs, risk considerations and a first-year roadmap

**Certificate eligibility is subject to meeting the applicable attendance and completion requirements.

 

 

Delivery Mode

Duration

3 Days Intensive

Format

In-person

Group Size

15-25 Participants

Delivery

On-campus (AUS)

Entry Requirements

To enroll in this program, applicants must meet the following criteria:

  1. a minimum of 5 years of professional experience
  2. currently holding, or preparing to hold, a senior decision-making role
  3. a bachelor’s degree or equivalent professional experience
  4. involvement in strategy, innovation, transformation, governance, risk, technology, institutional development or executive-level decision making
  5. proficiency in English sufficient to engage in executive-level discussions

**Applications may be subject to review by the admissions committee.

Enrollment Options

YOUR PROGRAM FEE INCLUDES:

  • three days of in-person executive education at American University of Sharjah
  • pre-program AI readiness preparation and guided applied learning
  • daily refreshments, lunch and networking opportunities throughout the program
  • comprehensive learning materials, case studies and practical frameworks
  • executive simulations and applied exercises using the GAIEM framework and SCALE maturity logic
  • development of an AI Excellence Playbook to support application within your organization
  • a certificate issued jointly by the American University of Sharjah Executive Education and Professional Development Office (EEPD) and the Global Centre for AI Excellence (GCAIE) upon completion of the applicable program requirements
  • opportunities to connect with fellow senior executives, faculty and AI practitioners through an executive learning network

Early-Bird Enrollment

  • 10% discount for registrations completed before October 01, 2026

Group Enrollment

  • 10% discount for group registrations from the same organization, with a minimum of three participants

AUS Alumni Enrollment

  • 10% discount for AUS alumni (AUS alumni email address is required at registration)

Frequently Asked Questions

Do I need a technical or programming background to attend?

No. The program is designed for executives and senior decision makers. No technical AI or programming background is required. The focus is on the strategic, governance, readiness and organizational decisions leaders need to make about AI.

How is this program different from a general executive AI course?

The program goes beyond AI awareness to focus on institutional AI excellence. Participants apply the Global AI Excellence Model (GCAIE) and SCALE logic to evaluate AI opportunities; assess organizational readiness; balance value, risk, trust and governance; and develop an AI Excellence Playbook for their organization.

What will I take back to my organization?

Participants develop an AI Excellence Playbook that brings together their executive AI agenda, priority value areas, governance actions, capability and workforce needs, operating model considerations and a first-year roadmap for responsible AI transformation.

Upcoming Sessions

STARTING ON 20 Oct 2026
LOCATION AUS Campus
DURATION 3 Days Intensive

Contact Us

Direct Program Contact

Manal Rayes
Manager of Executive Education and Professional Development

Ready to Lead AI Transformation with Confidence?

Join executives and senior leaders preparing their organizations to make informed AI decisions, strengthen readiness and governance, and create lasting organizational value.

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