Most executives have played with ChatGPT by now — far fewer have turned that curiosity into an actual strategy that ties generative AI to business objectives, governance, and measurable value. This training course closes that gap for senior leaders, executives, and decision-makers who want to move past experimentation and lead generative AI adoption deliberately.

Delivered by the Arab British Fellowship Training Academy, the programme opens with the principles behind generative AI — how machine learning and NLP power tools like ChatGPT and similar content-generation systems — before moving into the ethical, legal, and governance frameworks organisations need around them.

From there, the focus shifts to strategy: using generative AI for innovation, automation, and customer engagement; mobilising digital transformation through data-driven decisions and predictive modelling; and building the AI leadership mindset needed to spot opportunities, manage risk, and lead cross-functional AI teams. Case studies from finance, healthcare, education, and marketing, plus hands-on workshops, help attendees connect generative AI initiatives directly to their own business goals.

Who Should Attend?

• C-suite Executives and Senior Managers
• Business Strategy Leaders and Chief Innovation or Transformation Officers
• IT Directors and Digital Leaders
• AI Project Managers, Consultants, and Public Sector Leaders driving digital governance

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

• Understand the fundamentals of generative AI and its real business applications.
• Develop strategic plans for embedding AI technologies into core operations, aligned with performance outcomes.
• Lead AI-driven innovation and digital transformation initiatives responsibly.
• Establish ethical and governance frameworks for AI use, and evaluate organisational readiness to adopt it.
• Not just recognise generative AI's power, but harness it strategically for growth, resilience, and competitiveness.

Module 1: Where Generative AI Creates Value in Business

• Identifying business functions suited for generative AI
• Use cases in marketing, customer service, product design, HR, and finance
• Driving innovation and operational efficiency, and using AI as a competitive differentiator

Module 2: The Fundamentals Leaders Need to Know

• Definition and evolution of generative AI
• Overview of tools like ChatGPT, DALL·E, and Claude
• Differentiating traditional from generative AI models
• Key terms: NLP, LLMs, Deep Learning

Module 3: Ethics, Risk and Governance

• Addressing AI bias and data privacy
• Legal and regulatory frameworks (GDPR, global AI laws)
• Creating ethical AI policies and internal governance structures

Module 4: Building an AI-Ready Organisation

• Building an AI-first mindset and leading cross-functional AI teams
• Change management for AI transformation
• Upskilling and reskilling strategies for the AI era

Module 5: Designing Your AI Strategy

• Building a generative AI roadmap with clear objectives and KPIs
• Integrating with existing digital transformation efforts
• Tools and platforms for AI implementation

Module 6: Case Studies and Hands-On Planning

• Reviewing successful generative AI deployments
• Sector-specific insights: healthcare, finance, retail, public services
• Group activity: designing an AI strategy for your own organisation, with feedback and refinement