Leaders today are being asked to make calls on AI investment, governance, and integration without necessarily having a technical background — and getting it wrong is expensive, both financially and reputationally. This training course, delivered by the Arab British Fellowship Training Academy, is built for exactly that gap: giving leaders and managers a working understanding of super intelligence they can actually use in decision-making, not just terminology.

Participants explore how AI supports efficiency, innovation, and data analysis in day-to-day operations, and how it reshapes organisational behaviour and competitive positioning. The course also builds a digitally-aware leadership mindset capable of managing intelligent transformation responsibly — balancing the drive for innovation with safe, effective, and accountable use of AI across the organisation.

Who Should Attend?

• Chief Executive Officers and General Managers
• Department and Division Heads in large organisations
• Digital Transformation and Organisational Development Leaders
• Decision-makers in public and private sector organisations

By the end of the programme, participants will be able to:

• Assess the opportunities and risks of using super intelligence in real workplace environments.
• Understand core AI concepts and how they apply to institutional operations.
• Analyse the strategic impact of AI on leadership and decision-making processes.
• Build a data-driven roadmap for intelligent institutional transformation.
• Lead a culture that adopts smart solutions with awareness rather than hype.

Module 1: What AI Is Actually Changing in Business Today

• AI applications across finance, marketing, and operations
• Service automation and its role in efficiency
• Sentiment analysis and customer service use cases

Module 2: The Technical Building Blocks Leaders Need to Know

• The general concept of AI, its milestones, and how it differs from traditional systems
• Types of AI and their applications
• Big data, cloud computing, and how intelligent models are trained

Module 3: From Data to Decisions

• The role of algorithms in prediction and decision-making
• Classification and predictive analytics techniques
• Characteristics of automated decision-support systems and how they integrate with enterprise resource systems

Module 4: Leading Technical Teams Through Cultural Change

• What effective leadership looks like in intelligent environments
• Managing technical teams and understanding the language of AI
• Managing resistance to change and building an innovation-driven culture

Module 5: AI in Project Delivery

• AI tools for planning and executing projects
• Performance optimisation and quality control through algorithms
• Evaluating return on investment in intelligent solutions

Module 6: Building Your Organisation's AI Roadmap

• Steps to building an institutional AI strategy
• Setting priorities and developing internal capabilities
• Integrating AI with existing systems without disruption

Module 7: Governance, Ethics and Regulation

• AI governance and accountability frameworks
• Addressing privacy concerns and algorithmic bias
• Developing internal policies for safe and effective AI use