AP-230
AI+ Human Resources
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Price:
Duration:
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1 Day
Prerequisites
• Basic understanding of human resource management principles
• Familiarity with data analysis and interpretation
• Knowledge of AI concepts and applications in business settings
• 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
What you’ll learn in this course
The AI+ Human Resources™ Certification Course integrates AI technologies with HR practices. Participants learn data-driven recruitment strategies, AI-enhanced performance management techniques, and ethical considerations in HR.
Practical sessions focus on implementing AI tools for talent acquisition, leveraging machine learning for performance evaluation, and developing ethical guidelines for AI usage. Graduates acquire skills to revolutionize HR practices, fostering efficiency, equity, and innovation in workforce management amid the AI era. Gain a competitive edge in HR with AI integration.
Course Objectives
• Explore how AI technologies have driven the evolution of HR functions from traditional methods to advanced, AI-enhanced practices, focusing on data-driven recruitment, performance management, and personalized employee engagement.
• Learn to use AI tools for effective recruitment, including data analysis and predictive techniques, and apply AI-driven methods for managing and improving employee performance.
• Examine ethical implications, bias mitigation strategies, and legal compliance issues related to AI in HR, ensuring responsible and transparent AI implementation.
• Build competencies in the tools needed to promote a culture of AI acceptance within organizations, conduct skills gap analysis for effective AI integration, and evaluate the impact of AI on HR processes through metrics and Key Performance Indicators (KPIs).
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
• 6.3 Navigating 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
Further information
If you would like to know more about this course please contact us
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