Artificial Intelligence Essentials for Professionals
An AI essentials course for professionals: how AI works, practical uses at work, generative AI tools, risks and responsible adoption.
Course overview
Artificial intelligence has moved from research labs into everyday work, from chat assistants that draft documents to systems that predict demand, detect fraud and read scanned forms. Professionals who understand what AI can and cannot do are better placed to use it well and to avoid costly mistakes. This AI essentials course gives non-specialists a clear, practical grounding.
Participants learn the core ideas behind AI, machine learning and generative AI in plain language, without mathematics or coding. They explore practical applications in government, finance, health, agriculture and customer service across the region, and practise using generative AI tools for writing, summarising, analysis and research, with effective prompting. Optimisation and decision-support techniques are introduced through simple business examples. The second half addresses risks and governance: accuracy and fabricated output, bias, data protection, intellectual property, security and the emerging regulatory landscape. Participants finish by identifying and planning a responsible AI use case for their own work.
Participants leave confident in using AI tools productively and in judging where AI can add real value in their organisation.
What you will be able to do
- Explain AI, machine learning and generative AI in plain terms
- Identify practical AI applications in their sector
- Use generative AI tools effectively with good prompting
- Recognise the limits and risks of AI outputs
- Apply data protection and ethical principles to AI use
- Plan a responsible AI use case for their organisation
Who should attend
For managers and professionals in any sector who want a practical, non-technical understanding of AI and how to use it responsibly.
- Managers and team leaders
- Policy and planning officers
- Finance and administrative professionals
- Communication officers
- ICT managers new to AI
- Entrepreneurs
- Board members
Course outline
Day 1Understanding AI
Topics
- What AI is and is not
- Machine learning basics
- Generative AI and large language models
- Data as fuel for AI
- AI in the region
- Myths and realities
Day 2AI Applications at Work
Topics
- Public sector uses
- Finance and fraud detection
- Health and agriculture
- Customer service
- Document processing
- Optimisation and decision support
Day 3Using Generative AI Tools
Topics
- Prompting techniques
- Drafting and editing
- Summarising documents
- Data analysis with AI
- Research assistance
- Checking outputs
Day 4Risks and Responsible AI
Topics
- Accuracy and fabrication
- Bias and fairness
- Data protection
- Intellectual property
- Security risks
- Regulation and policy
Day 5Adopting AI Responsibly
Topics
- Choosing use cases
- AI policies for organisations
- Skills and change
- Measuring value
- Working with vendors
- Action planning
Course outcome
Participants leave confident in using AI tools productively and in planning responsible adoption at work.
Dates & fees
Full training calendarFees are per participant in US dollars and cover tuition, course materials and your certificate. Travel and accommodation are not included.