Trí tuệ nhân tạo trong Quản lý Nhân sự và Nguồn nhân lực

Description

Take the next step in your HR journey! Whether you are an aspiring HR professional, a business strategist, an entrepreneur, or a data enthusiast, this course will equip you with the knowledge and practical skills to understand, implement, and apply AI-Driven HR strategies. Learn how AI, workforce analytics, and modern HR tools are transforming organizations — from smarter talent acquisition and predictive workforce planning to employee engagement and retention.

Guided by real-world examples and hands-on exercises, you will:

• Master the core concepts of AI in HR, including workforce planning, talent analytics, performance management, and employee engagement.

• Gain hands-on experience working with HR analytics platforms, AI-powered tools, and case studies to design and evaluate effective HR strategies.

• Explore applications of AI-driven techniques in recruitment, attrition prediction, skills gap analysis, and leadership development.

• Understand the ethical, legal, and governance challenges of AI in HR, including privacy, fairness, transparency, and compliance.

• Position yourself for future opportunities by learning about the latest innovations and emerging trends in AI-driven HR, including generative AI, predictive modeling, and automation.

The Frameworks of the Course

· Engaging video lectures, case studies, projects, downloadable resources, and interactive exercises — designed to help you deeply understand AI-driven HR concepts, practical strategies, and real-world applications.

· The course includes multiple HR case studies, along with resources such as templates, worksheets, reading materials, quizzes, self-assessments, and practical exercises to strengthen your ability to apply AI in HR practices.

· In the first part of the course, you’ll learn the fundamentals of AI in HR, its advantages and challenges, and the step-by-step process of integrating AI into workforce planning and HR strategies.

· In the middle part of the course, you will build a strong foundation in talent analytics, recruitment optimization, employee engagement, and performance management, supported by real-world examples and interactive activities.

· In the final part of the course, you will explore ethical and legal considerations, implementation roadmaps, advanced AI trends, and career opportunities in AI-driven HR. All your queries will be addressed within 48 hours, with full support provided throughout your learning journey.

Course Content:

Part 1

Introduction and Study Plan

· Introduction and know your instructor

· Study Plan and Structure of the Course

MODULE 1. Introduction to AI in HR

1.1. The Role of AI in HR

1.2. Key Applications of AI in HR

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

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

3.1. AI-Driven Lifecycle

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

4.1. AI in Personalized Learning

4.2. Competency Mapping and Learning Analytics

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

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

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

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

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 Legislation

8.6. Conclusion

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

Part 2

MODULE 10. Capstone Project

• 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