Career Prospects
The programme is intentionally organised around practical outputs. Participants will build an AI-assisted workplace toolkit and complete a capstone project that solves a genuine workplace, organisational or business problem.
Target Participants
- Managers, supervisors and administrators in public, private and non-governmental organisations.
- Entrepreneurs, SME owners, start-up teams and business development professionals.
- Accountants, finance, procurement, human resource, marketing, customer service and project staff.
- Lecturers, teachers, researchers and postgraduate students seeking responsible AI productivity skills.
- Lawyers, health administrators and other professionals who require general workplace AI literacy without advanced programming.
- Graduates and job seekers who want practical AI-enabled employability skills.
Programme Objectives
The programme aims to equip participants with practical, responsible and transferable artificial intelligence skills that improve individual productivity, workplace performance, business operations, decision-making and innovation.
Learning Outcomes
By the end of the programme, a successful participant should be able to:
- Explain core AI and generative AI concepts in clear non-technical language and distinguish appropriate from inappropriate uses.
- Select and use AI tools for common workplace and business tasks.
- Design effective prompts and iteratively improve AI outputs for specific professional purposes.
- Use AI to draft, summarise, edit and structure professional communication and documents.
- Apply AI to meetings, planning, research support, presentations, customer service and knowledge work.
- Use AI to support spreadsheet analysis, interpretation, visualisation and evidence-informed decisions while verifying outputs.
- Develop AI-supported marketing, customer engagement and small-business productivity solutions.
- Identify hallucination, bias, privacy, confidentiality, intellectual-property, cybersecurity and ethical risks associated with AI use.
- Design a simple human-in-the-loop AI workflow for a recurring workplace or business process.
- Develop and present a practical AI capstone solution demonstrating measurable value and responsible use.
Admission Requirements
Applicants should normally possess a Uganda Advanced Certificate of Education (UACE) or its equivalent. Applicants with relevant work, business or professional experience may also be considered in accordance with University admission procedures. No prior programming experience is required. Participants should have basic digital literacy and access to an internet-enabled computer or suitable device.
Program Duration
The programme shall run for eight (8) weeks, equivalent to two (2) months. The normal study load shall combine live contact sessions, guided practical work, independent practice and a capstone project.
Program Structure
| Code | Course Unit | Weeks | LH | PH | CH | CU |
| AIWB 1101 | AI Foundations, Responsible Use and Prompting | 1–2 | 12 | 66 | 45 | 3 |
| AIWB 1102 | AI for Workplace Productivity and Communication | 3–4 | 12 | 66 | 45 | 3 |
| AIWB 1103 | AI for Business, Data and Decision Support | 5–6 | 12 | 66 | 45 | 3 |
| AIWB 1104 | AI Workflow Automation, Innovation and Capstone Project | 7–8 | 12 | 66 | 45 | 3 |
| Total | | | 48 | 264 | 180 | 12 |
All four course units are core. The structure is intentionally compact and integrated so that participants move from AI literacy and responsible prompting to workplace productivity, business application, workflow design and a final capstone solution.
Tuition Fees
The programme fee shall be UGX 500,000 for Ugandan/East African participants and USD 200 for international participants. Any application or other administrative charges shall be applied in accordance with approved UTAMU policy.
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