AI in Strategic Human Capital Management
Course Overview
• Understand how AI can transform human capital management strategies
• Equip HR leaders and managers with tools to optimize talent acquisition, development, and retention
• Strengthen data-driven decision-making in workforce planning and performance management
• Foster a culture of innovation, agility, and strategic workforce development
Training Format:In-class, Virtual, In-house
Location:Lagos, Accra, Nairobi, Kigali
Language:English, French
Nigeria Price:
₦300000
Int'l., (Nigeria) Price:
$1000
Ghana Price:
$4000
Kenya Price:
$5500
Rwanda Price:
$6000
Nigeria Price:₦300000
Int'l., (Nigeria) Price:
$1000
Ghana Price:
$4000
Kenya Price:
$4000
Rwanda Price:
$4000
Nigeria Price: ₦300000
Int'l., (Nigeria) Price:
$1000
Ghana Price: $4000
Kenya Price: $4000
Rwanda Price: $4000
Introduction to AI in Human Capital Management
• Overview of AI technologies and applications in HR
• The evolving role of AI in strategic workforce management
• Opportunities and challenges in AI-driven HR practices
• Aligning AI initiatives with organizational objectives
AI in Talent Acquisition and Recruitment
• Using AI for candidate sourcing, screening, and selection
• Predictive analytics for hiring success and cultural fit
• Reducing bias and improving diversity through AI-driven recruitment
• Case studies of AI-enabled talent acquisition
AI-Enhanced Performance Management
• Leveraging AI for objective performance assessment
• Personalized feedback and development recommendations
• Predictive insights for succession planning and talent retention
• Monitoring employee engagement and productivity through AI tools
Learning, Development, and Reskilling
• Identifying skills gaps using AI analytics
• Creating personalized learning and career development paths
• Supporting reskilling and upskilling initiatives for AI readiness
• Using AI to measure learning outcomes and ROI
Data-Driven Workforce Planning
• Predictive workforce modeling and scenario planning
• Optimizing resource allocation and productivity
• Aligning human capital strategies with organizational goals
• Using analytics to anticipate future talent needs
Ethics, Governance, and Responsible AI in HR
• Ensuring transparency, fairness, and accountability in AI applications
• Managing data privacy and security in HR systems
• Establishing ethical guidelines for AI-driven human capital management
• Building trust in AI-enabled HR practices
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.
