Plenty of organisations have already run a GenAI pilot or two — far fewer have an actual strategy connecting those experiments to business value. This training course from the Arab British Fellowship Training Academy is built for professionals who need to close that gap: turning scattered GenAI activity into a coherent, prioritised roadmap.

The course opens with the practical building blocks — AI models, machine learning fundamentals, and prompt engineering — enough for attendees to speak the language with confidence, before moving into the strategic core: identifying where GenAI creates value, assessing organisational readiness, and mapping an AI maturity level that's honest rather than aspirational. From there, participants work through prioritising initiatives, aligning them to business goals, and managing the risk that comes with any new technology deployment.

Data governance, ethics, and compliance are treated as design constraints rather than afterthoughts, alongside the change-management work needed to build AI literacy and an innovation-friendly culture. The course closes on measurement: how to define the right KPIs, track performance, and keep the roadmap aligned with long-term strategic goals — reinforced throughout with case studies and interactive planning sessions.

Course Objectives

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

• Explain the fundamental principles and applications of Generative AI.
• Identify and evaluate strategic opportunities to integrate AI into their own organisation.
• Build a custom AI adoption roadmap aligned with business goals.
• Navigate the governance, ethical, and regulatory challenges of AI deployment.
• Develop strategies for AI talent, infrastructure, and an innovation culture.
• Select relevant KPIs to track the performance and ROI of AI initiatives.

Who Should Attend?

• CEOs, CTOs, CIOs, and senior-level executives
• Business strategists
• Heads of digital transformation
• Innovation leaders
• R&D managers
• AI consultants and technology advisors
• Project managers involved in AI strategy or implementation

Module 1: Spotting Where GenAI Actually Adds Value

• Real Generative AI use cases across industries
• Assessing business readiness and strategic fit
• Lessons from organisations that got GenAI integration right

Module 2: The GenAI Toolkit — Models, Concepts, and Trends

• Overview of Generative AI models (e.g., GPT, DALL·E, Codex)
• Machine learning, deep learning, and natural language processing essentials
• Where the technology is heading next

Module 3: Designing a Roadmap That Actually Gets Implemented

• Building a phased implementation plan
• Aligning AI projects with business value chains
• Setting clear goals, timelines, and performance indicators

Module 4: Governance, Ethics, and Risk

• Understanding AI governance frameworks
• Addressing privacy, data security, and bias
• Navigating legal and regulatory compliance

Module 5: Getting the Organisation Ready

• Assessing and building AI capabilities and infrastructure
• Driving culture change and raising AI literacy
• Managing cross-functional collaboration and stakeholder alignment

Module 6: Measuring, Proving, and Scaling Impact

• Setting KPIs and tracking AI performance
• Evaluating ROI and making data-driven adjustments
• Strategies for scaling AI across departments or regions