Course Outcomes
Expected learning outcomes
Course Outcomes
- Understand key AI concepts and their practical application in business, government and public sector environments.
- Apply AI tools to improve productivity, reporting, communication and decision-making.
- Identify opportunities for AI adoption across departments, projects and organizational processes.
- Promote responsible AI use by considering ethics, privacy, governance and institutional accountability.
- Develop a practical AI adoption roadmap for organizational excellence and service improvement.
Curriculum
Course modules and outline
Course Outline
Module 1: Introduction to Artificial Intelligence and Generative AI
- Key concepts, practical examples and sector-based discussion.
- Workplace application activity, templates and implementation considerations.
Module 2: AI opportunities in business, government and development organizations
- Key concepts, practical examples and sector-based discussion.
- Workplace application activity, templates and implementation considerations.
Module 3: AI tools for productivity, administration and reporting
- Key concepts, practical examples and sector-based discussion.
- Workplace application activity, templates and implementation considerations.
Module 4: Prompt engineering for professional work
- Key concepts, practical examples and sector-based discussion.
- Workplace application activity, templates and implementation considerations.
Module 5: AI for decision-making, planning and organizational performance
- Key concepts, practical examples and sector-based discussion.
- Workplace application activity, templates and implementation considerations.
Module 6: AI in customer service and public service delivery
- Key concepts, practical examples and sector-based discussion.
- Workplace application activity, templates and implementation considerations.
Module 7: Automation, data analytics and digital transformation
- Key concepts, practical examples and sector-based discussion.
- Workplace application activity, templates and implementation considerations.
Module 8: AI risks, ethics, privacy and governance
- Key concepts, practical examples and sector-based discussion.
- Workplace application activity, templates and implementation considerations.
Module 9: Building AI-ready teams and departments
- Key concepts, practical examples and sector-based discussion.
- Workplace application activity, templates and implementation considerations.
Module 10: Developing an organizational AI action plan
- Key concepts, practical examples and sector-based discussion.
- Workplace application activity, templates and implementation considerations.
Target Audience
Who should attend?
Target Audience
Senior managers, directors, executives, government officials, policy makers, public sector administrators, NGO leaders, project managers, finance professionals, HR practitioners, procurement teams, ICT managers, operations teams, regulators, compliance officers, consultants and professionals responsible for organizational improvement, innovation and digital transformation.
Why Attend
Key course benefits
Practical capacity building approach
Designed for government, NGOs and public institutions
Real-world African case studies
Certificate of completion
Applicable tools and templates
Interactive facilitation and exercises
Course Enquiry
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