Every quarter brings another generative AI tool promising to change how organisations operate, and the leaders who treat it as a technical curiosity rather than a strategic issue are the ones who end up playing catch-up. The From ChatGPT to Strategy: Generative AI Training Course for Leaders, delivered by the Arab British Fellowship Training Academy, is built for executives who need to move past the headlines and understand what this technology can and cannot do for their organisation.

Participants work through how tools like ChatGPT and large language models actually function, then move into the harder question of where generative AI belongs in a business strategy, how to use prompt engineering and automation in day-to-day leadership work, and how to keep adoption ethical, fair, and well governed. The course closes by looking at where generative AI creates real competitive advantage and what leadership will look like once it is embedded everywhere.

Who Should Attend?

• CEOs, directors, and senior executives evaluating generative AI for their organisation.
• Strategic decision-makers and heads of innovation or digital transformation.
• IT managers and technology advisors supporting AI adoption.
• Project leaders overseeing AI adoption initiatives.
• Any leader who wants to stay competitive as generative AI reshapes their industry.

Knowledge and Benefits:

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

• Explain how generative models, transformers, and large language models actually work.
• Apply prompt engineering and natural language tools to real leadership tasks.
• Design a roadmap for integrating generative AI into business strategy.
• Recognise and manage the ethical, bias, and governance risks of AI adoption.
• Identify where generative AI creates a genuine competitive edge for their organisation.

Module 1: Where Generative AI Is Already Changing the C-Suite

• Real-world cases of generative AI reshaping leadership decisions.
• Why treating AI as "just IT's problem" is a strategic risk.
• Evolution of AI, machine learning, and deep learning into today's generative tools.

Module 2: How the Technology Actually Works: Models, Tools, and Prompts

• Overview of GANs, transformers, and large language models like GPT.
• Key tools: ChatGPT, DALL·E, Midjourney, and enterprise alternatives.
• Prompt engineering fundamentals for business use.

Module 3: Turning AI Into a Business Strategy

• Identifying where AI opportunities sit within your organisation.
• Building a roadmap for AI strategy and leadership buy-in.
• Managing the change and digital transformation that follows.

Module 4: Keeping AI Ethical, Fair, and Well Governed

• Ethical considerations in AI usage and automated decision-making.
• Addressing bias, transparency, and accountability.
• Implementing practical AI governance frameworks.

Module 5: Winning With AI: Innovation and Competitive Edge

• Using AI for product innovation and service improvement.
• Building a culture that keeps experimenting with new tools.
• Turning generative AI adoption into a measurable advantage.

Module 6: Leading Teams Through an AI-Driven Future

• Skills leaders must build for an AI-saturated workplace.
• Forecasting where AI trends are heading next.
• Sustaining high-performing teams in AI-centric environments.