Course Outcomes
Expected learning outcomes
Course Outcomes
- Apply AI tools to improve HR operations, communication and workforce administration.
- Use AI to support recruitment, onboarding, job descriptions and employee documentation.
- Analyze workforce trends, skills gaps, training needs and performance information.
- Improve employee engagement, learning and development through AI-supported tools.
- Manage AI-related HR risks, including bias, fairness, privacy and ethical decision-making.
Curriculum
Course modules and outline
Course Outline
Module 1: AI and the future of HR management
- Key concepts, practical examples and sector-based discussion.
- Workplace application activity, templates and implementation considerations.
Module 2: AI in recruitment, selection and onboarding
- Key concepts, practical examples and sector-based discussion.
- Workplace application activity, templates and implementation considerations.
Module 3: AI for job descriptions, interviews and competency mapping
- Key concepts, practical examples and sector-based discussion.
- Workplace application activity, templates and implementation considerations.
Module 4: HR analytics and workforce planning
- Key concepts, practical examples and sector-based discussion.
- Workplace application activity, templates and implementation considerations.
Module 5: AI for performance management and staff development
- Key concepts, practical examples and sector-based discussion.
- Workplace application activity, templates and implementation considerations.
Module 6: Learning and development using AI tools
- Key concepts, practical examples and sector-based discussion.
- Workplace application activity, templates and implementation considerations.
Module 7: Employee engagement and communication automation
- Key concepts, practical examples and sector-based discussion.
- Workplace application activity, templates and implementation considerations.
Module 8: Ethics, bias and fairness in AI-supported HR
- Key concepts, practical examples and sector-based discussion.
- Workplace application activity, templates and implementation considerations.
Module 9: Data privacy and employee information protection
- Key concepts, practical examples and sector-based discussion.
- Workplace application activity, templates and implementation considerations.
Module 10: Designing an AI-enabled HR action plan
- Key concepts, practical examples and sector-based discussion.
- Workplace application activity, templates and implementation considerations.
Target Audience
Who should attend?
Target Audience
HR managers, HR officers, training managers, payroll officers, administrators, recruitment officers, labour relations officers, organizational development practitioners, performance management teams, public sector HR departments, NGO HR teams, executives and managers responsible for people management.
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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