AI+ Human Resources™
Building Tomorrow's Workforce Today with AI-Driven Solutions
This course explores how AI is transforming workforce management, teaching learners to integrate AI into recruitment, evaluation, and performance systems. Participants gain hands-on experience using machine learning and data-driven insights to enhance talent acquisition and employee assessment. The program also emphasizes ethical AI application, highlighting responsible practices that promote fairness, transparency, and trust in people management. Finally, learners develop future-ready skills to navigate evolving HR dynamics with greater efficiency, equity, and strategic impact.
Enrollment Fee:
MUR 5,980
What You'll Learn
- Course Introduction
1.1 Introduction to AI Technologies
1.2 AI’s Role in HR Evolution
1.3 AI Applications in HR
1.4 Preparing HR for AI Integration
2.1 Revolutionizing Recruitment with AI
2.2 Enhancing Onboarding with AI
2.3 Implementing AI in Recruitment and Onboarding
3.1 Personalizing Employee Development with AI
3.2 AI for Employee Engagement and Sentiment Analysis
3.3 Implementing AI Solutions for Employee Experience
4.1 Introduction to Workforce Analytics
4.2 Predictive Analytics for HR
4.3 AI in Talent Management and Succession Planning
4.4 Ethical Considerations in Workforce Analytics
5.1 Understanding Ethical AI in HR
5.2 Identifying and Mitigating Bias in AI Tools
5.3 Implementing Ethical AI Practices in HR
5.4 Building an Ethical AI Culture
6.1 Legal Landscape for AI in HR
6.2 Compliance Strategies for AI in HR
6.3 Navigating Regulatory Changes
6.4 Ethical and Legal Alignment
7.1 Future Trends in AI and HR
7.2 Building Organizational Readiness for AI
7.3 Strategic Planning for AI Adoption
7.4 Ethical and Future Considerations
8.1 Project Planning and Design
8.2 Implementation Strategy
8.3 Monitoring, Evaluation, and Scaling
8.4 Ethical and Legal Considerations
1. Understanding AI Agents
2. Case Studies
3. Hands-On Practice with AI Agents
Prerequisites
- Basic understanding of human resource management principles.
- Knowledge of AI concepts and applications in business settings.
- Familiarity with data analysis and interpretation.
- Proficiency in using computer software and tools for data manipulation.
- A willingness to engage with technical subjects and apply AI technologies in the context of learning and development.
Exam Details
Duration:
90 minutes
Passing Score:
70% (35/50)
Format:
50 multiple-choice/multiple-response questions
Delivery Method:
Online via proctored exam platform (flexible scheduling)
Unlock Self-Paced Online Learning
- Unlock Self-Paced Online Learning
- Access learning anytime, anywhere, with built-in quizzes to measure progress.
- Enrollment Fee: MUR 5,980