Every department is being asked to do more without a matching increase in headcount, and generative AI tools like ChatGPT have quickly become one of the more realistic answers to that pressure. The gap most organisations face isn't awareness — almost everyone has tried ChatGPT by now — it's knowing how to use it inside real business processes, responsibly and consistently. This training course from the Arab British Fellowship Training Academy is built to close exactly that gap.

Participants get hands-on with how generative AI models actually work, then move quickly into application: producing marketing and customer-facing content, automating repetitive tasks, supporting decisions with faster data summaries, and plugging AI into the tools teams already use day to day. Ethical and legal boundaries are treated as a core part of the skill, not an afterthought, so participants leave able to use these tools with judgement, not just enthusiasm.

Who Should Attend?

• Executive managers and decision-makers looking to understand what generative AI can realistically deliver.
• Digital transformation and corporate development officers driving AI adoption.
• Marketing, HR and customer service staff who will use these tools day to day.
• Programmers and analysts who need to understand generative AI's business applications, not just its technical mechanics.

What You'll Be Able To Do

• Explain how generative AI and ChatGPT actually work, and where their limits are.
• Use ChatGPT to generate content, support customer service, and analyse and summarise business data.
• Integrate generative AI tools into existing organisational workflows and platforms.
• Apply the ethical and legal guardrails that responsible AI use in business requires.
• Build a practical roadmap for adopting generative AI sustainably within a team or organisation.

Module 1: Generative AI in Plain Business Terms

• How generative AI emerged, and what "intelligent content generation" actually means.
• The difference between traditional AI and generative AI.
• The major generative AI models in use today.

Module 2: Inside ChatGPT: What It Can (and Can't) Do

• How ChatGPT works, based on the language-model techniques behind it.
• Realistic applications for supporting different business functions.
• Its limitations, and the ethical standards that should guide its use.

Module 3: Content and Marketing on Autopilot

• Generating marketing content and promotional copy.
• Building professional email campaigns using language-generation tools.
• Drafting social media posts and other digital content.

Module 4: Smarter Customer Conversations

• Building automated response models that reduce the load on support teams.
• Improving communication quality through chatbots.
• Analysing customer inquiries and generating precise, professional responses.

Module 5: Making the Organisation Run Leaner

• Automating repetitive tasks using language models.
• Supporting decision-making through data summarisation and analysis.
• Developing AI-assisted mechanisms to support HR and other departments.

Module 6: Plugging AI Into the Tools You Already Use

• Connecting ChatGPT with work platforms such as Slack and Teams.
• Using generative AI inside project management tools.
• Developing custom interfaces to integrate AI into existing workflows.

Module 7: From Raw Data to Business Insight

• Using language models to interpret and simplify data reports.
• Turning complex figures into actionable insight.
• Writing professional reports and recommendations with AI assistance, improving clarity and consistency.

Module 8: Getting Ready for What's Next

• Practical steps for adopting AI tools inside an organisation.
• Addressing integration challenges as they come up.
• Reading upcoming trends and their impact on jobs, skills and the organisation's digital roadmap.