Date Venue Fee
01 Jul - 05 Jul 2024 Dubai – UAE $ 4,950 Register Now
07 Oct - 11 Oct 2024 Dubai – UAE $ 4,950 Register Now
About the Course

As leaders and managers, your ability to harness the potential of emerging technological innovations, including Artificial Intelligence (AI), is critical in today's rapidly evolving business landscape, where the rapid rate of technological change is ways faster than most organisations can adjust and adapt. 

This 5-day interactive Artificial Intelligence (AI) for Leaders and Managers training course will equip delegates with the knowledge, skills, and strategies to leverage AI in decision-making and policy formulation effectively to realise previously deemed impossible opportunities. Whether they are a CEO, CTOs, CMOs, or Senior Executives, this strategic training course offers a unique opportunity to enhance their understanding of AI and its implications from a leadership and strategy viewpoint. It will explore how AI can transform leadership roles and responsibilities by providing actionable insights harvested from big data and improving decision-making processes. Delegates will gain a practical understanding of AI concepts and key skills to lead their organisation into an AI-driven future.

Delegates will receive sufficient, valuable exposure to the lifecycle of artificial intelligence projects, from ideation to implementation and manifestation of the business benefits added to survive the digital tsunami and lead their respective domains and markets in today's highly competitive scene.

Core Objectives

The delegates will achieve the following objectives:

  • Know the fundamentals of AI and its impact on businesses and policy-making
  • Develop a strategic mindset for integrating AI into decision-making processes
  • Assess AI applications and their potential benefits for their organisations
  • Lead AI initiatives and drive AI adoption in their respective domains
  • Foster a culture of AI responsibility and ethical AI usage within their organisations
Training Approach

Delegates attending this training course will experience a combination of engaging lectures, group discussions, case studies, and hands-on exercises. It will provide insights into AI's role in leadership and guide the delegates through practical AI applications relevant to their industry.

The Attendees

This training course includes professionals interested in learning about Artificial Intelligence (AI).

Likewise, it will be valuable to the professionals but not limited to the following:

  • Senior Executives
  • Leaders and Managers
  • Senior Professionals
Daily Discussion

DAY ONE: UNDERSTANDING ARTIFICIAL INTELLIGENCE (AI) FOR LEADERS

  • Introduction to AI for Leaders
  • AI Fundamentals and Terminology
  • AI's Impact on Business and Decision-making
  • AI Applications in Various Industries
  • Successful AI Integration in Leadership
  • Assessing AI Readiness within the Organisation 

DAY TWO: LEADING ARTIFICIAL INTELLIGENCE (AI) INITIATIVES

  • Developing an AI Strategy in the Organisation
  • AI Project Lifecycle: From Ideation to Implementation
  • Identifying Key AI Talent and Resources
  • Cloud Computing: Amazon Web Services and AI
  • AI Leadership in Practice
  • Designing the Organisation's AI Strategy

DAY THREE: ARTIFICIAL INTELLIGENCE (AI) IN POLICY-MAKING

  • The Role of AI in Policy and Governance
  • AI Policy Frameworks and Guidelines
  • Ethical Considerations in AI Policy
  • AI Policies
  • Drafting an AI Policy Statement in the Organisation

DAY FOUR: ARTIFICIAL INTELLIGENCE (AI) IN DECISION-MAKING

  • AI-Powered Decision Support Systems
  • Leveraging AI for Data-driven Decision-making
  • Real-time Analytics and Predictive AI
  • AI in Strategic Decision-making
  • Evaluating AI Tools for Decision Support

DAY FIVE: STATE-OF-THE-ART AND LEADING WITH ETHICAL ARTIFICIAL INTELLIGENCE (AI)

  • Overview of Genetic Algorithms
  • The Need for Optimisation, Maximisation, and Minimisation
  • How does GA work and evolve?
  • Genetic Algorithm Chromosomes, Genes, Selection, Mutation, and Crossover
  • Dimension to Use Genetic Algorithm
  • Real Genetic Algorithm Examples to Optimise Business Processes