Available Dates & Locations

Dates
May 4, 2026
May 8, 2026
Location
London
Duration
5 Days
Venue
09:00 am – 03:30 pm (London)
Language
EN
Fees

$5,950.00

Dates
November 9, 2026
November 13, 2026
Location
London
Duration
5 Days
Venue
09:00 am – 03:30 pm (London)
Language
EN
Fees

$5,950.00

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COURSE OVERVIEW

Artificial Intelligence is evolving at an unprecedented pace, making its integration crucial for organizations aiming to foster creativity, sustain competitiveness, and drive growth. Embracing AI is no longer optional rather than being fundamental to modern leadership. This course empowers you to strategically utilize AI as a business driver, identify strategic opportunities, develop an AI roadmap, enable informed decision-making, and prepare an AI-ready culture within your organization through an engaging and interactive learning experience featuring dynamic discussions, workshops, and activities designed to solidify your understanding and application of AI in a leadership context.

COURSE OBJECTIVES

By the end of this course, participants will be able to:

  • Drive organizational transformation using AI.
  • Foster a culture that supports AI-driven performance.
  • Mitigate risks associated with AI adoption.
  • Realize the ROI for AI and GenAI.
  • Integrate AI into strategic decision-making.
  • Demonstrate ethical leadership in AI implementation.
  • Address societal responsibilities tied to AI adoption.

NOTE: The course require using laptop running on Microsoft Windows OS with connection to internet. Participants must bring their own laptops.

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TARGET COMPETENCIES

  • AI Strategic Leadership
  • Organizational Development
  • Risk Management
  • Cultural Transformation for AI adoption
  • Generative AI
  • AI Ethical Governance
  • Social Responsibility

This course is tailored for senior executives and decision-makers who wants to adopt AI in their leadership

  • Chief Executive Officers (CEOs)
  • Chief Operating Officers (COOs)
  • Chief Strategy Officers (CSOs)
  • Chief Human Resource Officers (CHROs)
  • Executive Directors

This course employs a mix of expert-led instruction, real-world examples, and interactive discussions to ensure practical understanding and application of AI leadership principles.

INTRODUCTION TO AI

  • Overview of AI’s role in modern leadership.
  • Key concepts and terminologies in AI.
  • Challenges of AI adoption.

Drive AI Initiatives for Competitive Advantage

  • Identifying opportunities for AI integration.
  • Leveraging AI for market differentiation.
  • Measuring the business value of AI.

AI Leadership Traits

  • Characteristics of successful AI leaders
  • Developing decision-making skills in AI-driven environments
  • Enhancing emotional intelligence in an AI context

Generative AI for Executives

  • Understanding the strategic value of Generative AI (GenAI) Applications in different business functions
  • Opportunities, risks, and governance frameworks for GenAI
  • Positioning GenAI as a differentiator in the executive agenda

AI Strategy for Enterprise

  • Vision and roadmap for AI adoption
  • AI integration into long-term corporate strategy
  • KPIs and AI ROI evaluation
  • Leadership alignment, governance, and change management enablers

AI Organizational Structure

  • Designing structures to support AI initiatives
  • Roles and responsibilities in an AI-driven organization
  • Scalability and adaptability in organizational design

Build an AI-Performance Culture

  • Strategies for fostering AI readiness in organizations
  • Encouraging innovation through AI-driven tools
  • Aligning culture with AI adoption goals

AI Risk Management

  • Identifying and mitigating AI-related risks
  • Balancing innovation with compliance
  • Frameworks for managing AI risks effectively

Ethical AI Implementation

  • Principles of ethical AI usage
  • Avoiding biases and ensuring fairness
  • Governance frameworks for ethical AI implementation

AI and Social Responsibility

  • The societal impact of AI adoption
  • Strategies for ensuring inclusivity and transparency
  • Measuring the social benefits of AI initiatives
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