Detailed Course Outline
Module 1: Foundations of Artificial Intelligence (AI) in HR
- 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
Module 2: AI-Enhanced Recruitment and Onboarding
- 2.1 Revolutionizing Recruitment with AI
- 2.2 Enhancing Onboarding with AI
- 2.3 Implementing AI in Recruitment and Onboarding
Module 3: Enhancing Employee Experience and Engagement
- 3.1 Personalizing Employee Development with AI
- 3.2 AI for Employee Engagement and Sentiment Analysis
- 3.3 Implementing AI Solutions for Employee Experience
Module 4: Workforce Analytics and Talent Management
- 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
Module 5: Ethical AI and Bias Mitigation
- 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
Module 6: Legal Considerations in AI for HR
- 6.1 Legal Landscape for AI in HR
- 6.2 Compliance Strategies for AI in HR
- 6.3Navigating Regulatory Changes
- 6.4 Ethical and Legal Alignment
Module 7: Preparing for the Future of AI in HR
- 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
Module 8: Implementing AI in HR: A Practical Workshop
- 8.1 Project Planning and Design
- 8.2 Implementation Strategy
- 8.3 Monitoring, Evaluation, and Scaling
- 8.4 Ethical and Legal Considerations