آموزش هوش مصنوعی در منابع انسانی و مدیریت افراد - آخرین آپدیت

سرفصل ها و درس ها

MODULE 1. Introduction to AI in HR

• Introduction

• MODULE 1. Introduction to AI in HR

• 1.1. The Role of AI in HR

• 1.2. Key Applications of AI in HR

• 1.2. Key Applications of AI in HR 2

• 1.3. AI Tools and Technologies in HR

• 1.4. Ethical Considerations and Challenges

• 1.5. The Future of AI in HR

• 1.6. Case Study

• 1.7. Conclusion

MODULE 2. Data Fundamentals for AI in HR

• MODULE 2. Data Fundamentals for AI in HR

• 2.1. Types and Collection of Data in HR

• 2.2. Ensuring quality, Integrity, and Ethics in HR

• 2.3. Data Preparation and Analytics for AI in HR

• 2.4. Building a Data Driven HR Culture

• 2.5. Conclusion

MODULE 3. AI- Driven Talent Acquisition

• MODULE 3. AI- Driven Talent Acquisition

• 3.1. AI-Driven Lifecycle

• 3.1. AI-Driven Lifecycle 2

• 3.2. The Benefits of AI in Talent Acquisition

• 3.3 Challenges and Ethical Considerations

• 3.4. The Future of AI in Talent Acquisition

• 3.5. Case Study

• 3.6. Conclusion

MODULE 4. AI in Learning and Development

• MODULE 4. AI in Learning and Development

• 4.1. AI in Personalized Learning

• 4.2. Competency Mapping and Learning Analytics

• 4.2. Competency Mapping and Learning Analytics 2

• 4.3 Integrated AI Platforms for Virtual Coaching and Learning

• 4.4. Ethical Considerations and Challenges in Ai in HR

• 4.5. Future Trends in AI for Learning and Development

• 4.6. Conclusion

MODULE 5. Foundations of Employee Engagement

• MODULE 5. Foundations of Employee Engagement

• 5.1. AI for Measuring and Improving Engagement

• 5.2. Personalized Employee Development and Recognition

• 5.3. AI Enhanced Employee Journey

• 5.4. Integrated AI Platforms for Employee Experience

• 5.5. Responsible Use of AI in engagement

• 5.6. Conclusion

MODULE 6: AI in Performance Management and Succession Planning

• MODULE 6: AI in Performance Management and Succession Planning

• 6.1. AI-Driven Performance Evaluation and Development

• 6.2. AI in Succession Planning

• 6.3. Strategic Insights

MODULE 7. Foundations of AI in Workforce Planning and HR Analytics

• MODULE 7. Foundations of AI in Workforce Planning and HR Analytics

• 7.1. Predictive Analytics for Workforce Management

• 7.2. Talent Development and Skill Management

• 7.3. Recruitment and Talent Acquisition Optimization

• 7.4. Data Integration for Unified Workforce Planning Platform

• 7.5. Ethical Considerations and Compliance in AI-Driven HR Analytics

• 7.6. Conclusion

MODULE 8: Ethical and Loyal Considerations of AI in HR

• MODULE 8: Ethical and Loyal Considerations of AI in HR

• 8.1. Data Privacy, Consent and Security

• 8.2. Fairness, Bias and Accountability

• 8.3. Transparency and Explainability of AI in HR

• 8.4. Ethical Considerations in Monitoring and Surveillance

• 8.5. Compliance with Employment Laws and Anti-Discrimination Legis

• 8.6. Conclusion

MODULE 9: Implementing AI in HR Challenges and Practices

• MODULE 9: Implementing AI in HR Challenges and Practices

• 9.1. Challenges of Implementing of AI in HR

• 9.2. Best Practices for Implementing AI in HR

• 9.3. Conclusion

MODULE 10. Capstone Project

• MODULE 10. Capstone Project

Comprehensive Guide, Downloads and Assignments

• AI Tools for Human Resource Management: A Comprehensive Guide

• Assignment 1: AI in Recruitment and Candidate Selection

• Assignment 2: AI in Employee Engagement and Performance Management

• Assignment 3: AI in Learning and Talent Development