Leveraging Artificial Intelligence for Workforce Analytics and Planning
Course Overview
- Understand the fundamentals of workforce analytics and its role in organizational planning.
- Explore how artificial intelligence (AI) enhances workforce analytics and decision-making.
- Develop practical skills to implement AI-driven workforce planning tools.
- Evaluate and address ethical and data privacy concerns in AI applications.
Training Format:In-class, Virtual, In-house
Location:Lagos, Accra, Nairobi, Kigali
Language:English, French
Nigeria Price:
₦330000
Int'l., (Nigeria) Price:
$1000
Ghana Price:
$4000
Kenya Price:
$5500
Rwanda Price:
$6000
Nigeria Price:₦330000
Int'l., (Nigeria) Price:
$1000
Ghana Price:
$4000
Kenya Price:
$4000
Rwanda Price:
$4000
Nigeria Price: ₦330000
Int'l., (Nigeria) Price:
$1000
Ghana Price: $4000
Kenya Price: $4000
Rwanda Price: $4000
Introduction to Workforce Analytics and AI
- Overview of workforce analytics and its importance in business strategy.
- Basics of artificial intelligence and its relevance to workforce planning.
- Key data sources for workforce analytics.
- Case studies: Companies leveraging AI for workforce optimization.
AI Tools and Techniques in Workforce Analytics
- Overview of AI technologies used in workforce analytics (e.g., machine learning, predictive analytics).
- Applications of AI:
- Talent acquisition and recruitment.
- Employee performance and retention analysis.
- Succession planning and skills gap identification.
- Hands-on activity: Exploring workforce analytics dashboards/tools.
Implementing AI for Workforce Planning
- Steps to integrate AI into workforce planning processes.
- Building AI models: Key considerations and challenges.
- Change management and training for AI adoption.
- Interactive discussion: Barriers to implementation and how to overcome them.
Ethical Considerations and Future Trends
- Addressing data privacy and ethical concerns in AI-driven analytics.
- Bias in AI: Identification and mitigation strategies.
- Future trends in workforce analytics and the role of generative AI.
- Final group activity: Drafting an AI-driven workforce planning roadmap for a hypothetical organization.
1ST BATCH: Monday, March 30, 2026 — Thursday, April 2, 2026.
2ND BATCH: Tuesday, July 21, 2026 — Friday, July 24, 2026.
3RD BATCH: Tuesday, November 17, 2026 — Friday, November 20, 2026.
The training methodology integrates lectures, interactive discussions, collaborative group exercises, and
illustrative examples. Participants will acquire a blend of theoretical insights and hands-on practical
experience, emphasizing the application of learned techniques. This approach ensures that attendees return
to their professional environments equipped with both the competence and self-assurance to effectively
implement the acquired skills in their responsibilities.
