About this course
Delegates learn what artificial intelligence can and cannot do, from rule-based systems and machine learning to generative AI and large language models. Sessions cover realistic use cases in finance, government and business, data requirements, bias and error, AI governance and ethics, and how to assess and procure AI tools. The aim is informed decision-making rather than programming.
Why this course
Many organisations are adopting AI tools before managers can judge their value or their risks. Poorly governed use can expose confidential data, produce biased decisions and waste budget on tools that do not fit. Staff who understand the basics can identify sound use cases, ask vendors the right questions and set sensible controls.
What delegates will be able to do
By the end of the course, delegates will be able to
- Explain the difference between machine learning, deep learning and generative AI in plain terms
- Identify AI use cases in their own unit and rate them for value and feasibility
- Assess an AI tool or vendor proposal for data, accuracy, bias and security risks
- Draft basic rules for responsible staff use of generative AI tools
- Write effective prompts and check AI-generated output for errors before use
Who should attend
Managers, policy officers, risk and compliance staff, IT leads and analysts in banks, public entities and private companies who need a working grasp of AI. No technical or coding background is assumed.
How it is delivered
Facilitator-led sessions with live demonstrations of AI tools, case studies from African public and private organisations, and group work assessing use cases from delegates' own workplaces. It is available as a public course, in-house at your premises, or as live virtual sessions. Duration and dates are confirmed in your quote, and in-house groups can have the examples and exercises fitted to their organisation.