Leading in the Age of AI: A Training Course in Super Intelligence for Leaders and Managers (Online / Remote)
1Summary
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.
2Objectives and target group
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.
3Course Content
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