AI+ Chief AI Officer™

Applied AI for Business

AI+ Chief AI Officer™

Available since September 8, 2025
...
Category

Applied AI for Business

Duration

1 day

Course Open Rounds

Starting Date
Round
Location Price Instructor
16 Feb 2026
Online (10:00 AM GMT+2)
$660
Early $550
$660
Early $550
Mahmoud Ghoz

Course description

The AI+ Chief AI Officer™ certification is a strategic 1-day executive program designed to equip senior leaders and aspiring CAIOs with the knowledge, tools, and frameworks to lead AI-driven transformation across organizations. Participants explore how to align AI initiatives with business objectives, manage AI ethics and governance, build high-performing AI teams, and leverage generative AI for innovation. The program emphasizes executive decision-making, data-driven leadership, and strategies to overcome challenges in AI adoption, ensuring leaders can confidently drive enterprise-wide AI integration.

Target audience

This certification is positioned at the C-Suite and Executive level, ideal for:
▪ Current Executives (CEOs, CAIOs, CIOs, CTOs) driving AI strategy and adoption.
▪ Aspiring Chief AI Officers preparing to step into AI-focused leadership roles.
▪ Entrepreneurs & Business Owners integrating AI into strategy for growth.
▪ Senior Managers & Consultants transitioning into AI-driven leadership.

Course requirements

▪ Leadership experience in managing teams or operations.
▪ Understanding of business management principles.
▪ Familiarity with AI fundamentals (recommended, not mandatory).

Learning Outcomes

By the end of this certification, participants will be able to:
▪ Define the role and responsibilities of a Chief AI Officer in today’s enterprise.
▪ Craft a strategic AI roadmap aligned with organizational objectives.
▪ Build and lead high-performance AI teams for innovation and growth.
▪ Apply AI governance frameworks to ensure ethical, transparent, and responsible AI use.
▪ Drive data-driven decision-making and measure ROI from AI initiatives.
▪ Overcome adoption barriers and foster an AI-ready culture across the enterprise.
▪ Leverage generative AI for business innovation and competitive advantage.
▪ Apply concepts in a capstone-style executive workshop to solve real organizational challenges.

Program Details

▪ Program Duration: 1 day (Instructor-led, live or virtual)
▪ Delivery Mode: Instructor-led or virtual, with case studies and capstone workshop
▪ Class Capacity: Minimum 10, maximum 15 participants
▪ Certification: AI CERTs – AI+ Chief AI Officer Certification
▪ Exam Format: 50 questions, 70% passing score, 90 minutes, online proctored exam

Course teachers

Mahmoud Ghoz

With over 22 years of industry experience, Mahmoud brings expertise in leading organizational
transformations, optimizing processes, and managing legacy systems across diverse company
sizes and regions. His deep understanding of the entire business lifecycle allows him to implement
impactful changes at every stage of transformation.
For the last decade, Mahmoud has been dedicated to Lean and Agile methodologies, successfully
guiding large-scale initiatives that promote organizational agility and a culture of continuous
improvement. His work focuses on reducing inefficiencies, driving sustainable growth, and
delivering measurable results.
As a certified instructor for prestigious organizations such as Scrum Alliance, ICAgile, Kanban
University, DASA, and SAFe, Mahmoud has empowered numerous professionals in Agile practices.
Additionally, his credentials as a Hogan assessor and an Intelligent Leadership Advanced Certified
Coach from John Mattone Global enhance his leadership coaching approach.
Mahmoud’s executive coaching is centered on leadership development, fostering agile teams,
driving sustainable organizational change, and promoting executive growth through a deep
understanding of human dynamics.

Mahmoud Ghoz
Mahmoud Ghoz

Course Plan

Section 01

Session 1 | Foundations of AI and Leadership in the Digital Era

  • The evolution of AI in executive decision-making
  • Role of the Chief AI Officer in shaping business transformation
  • Case study: CAIO leadership impact
Section 02

Session 2 | Crafting a Strategic AI Roadmap

  • Aligning AI initiatives with business strategy
  • Balancing innovation with legacy systems
  • Roadmap activity: defining strategic AI priorities
Section 03

Session 3 | Building a High-Performance AI Team

  • Structuring AI teams and roles
  • Leadership and continuous learning for AI talent
  • Case study: outcomes of high-performing AI teams
Section 04

Session 4 | Ethics in AI Governance & Risk Management

  • Global AI ethics standards and compliance (UNESCO, EU AI Act)
  • Addressing bias, transparency, and accountability in AI initiatives
  • Embedding governance into organizational AI strategies
Section 05

Session 5 | Data-Driven Decision-Making & Business Impact

  • Leveraging data for executive decisions
  • Metrics and ROI measurement for AI initiatives
  • Case study: evaluating AI-driven business impact
Section 06

Session 6 | Driving Organization-Wide AI Adoption

  • Change management frameworks for AI adoption
  • Communicating value to stakeholders and overcoming resistance
  • Tracking success with KPIs
Section 07

Session 7 | Leveraging Generative AI for Innovation

  • GANs, Transformers, and generative tools for business creativity
  • Innovation use cases across industries
  • Ethical considerations of generative AI adoption
Section 08

Session 8 | Capstone Executive Workshop

  • Group activity: Designing an AI adoption plan for an enterprise
  • Presentations and peer review
  • Executive reflections and action steps

Reviews

Coming soon.

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