AI+ Human Resources™

  • AI in Workforce: Learn to integrate AI for smarter recruitment and performance systems 
  • Data-Driven HR: Gain insights into talent acquisition and evaluation using ML
  • Ethical Application: Understand responsible AI practices in people management
  • Future-Ready Skills: Prepare to handle evolving HR dynamics with efficiency and equity 

¡Reserva ya!

  • Modalidad: Online

    Incluye:

    Candidatos ideales para este curso:

    AI HR Specialist. Implement and manage AI-driven HR tools to optimize recruitment and employee engagement strategies.
    Talent Acquisition Analyst. Use AI to analyze and assess candidates, improving hiring decisions and talent management.
    People Analytics Specialist. Leverage AI to gather insights and data-driven decisions that enhance employee performance and retention.
    HR Automation Manager. Oversee AI-based automation systems in HR, ensuring streamlined processes for recruitment, payroll, and performance management.
    AI Integration Consultant (HR). Guide organizations in integrating AI technologies into their HR processes to enhance efficiency and decision-making.

    • 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. 

     

    Certification Overview.

    Module 1: Foundations of Artificial Intelligence (AI) in HR.

    1. 1.1 Introduction to AI Technologies
    2. 1.2 AI’s Role in HR Evolution
    3. 1.3 AI Applications in HR
    4. 1.4 Preparing HR for AI Integration

    Module 2: AI-Enhanced Recruitment and Onboarding.

    1. 2.1 Revolutionizing Recruitment with AI
    2. 2.2 Enhancing Onboarding with AI
    3. 2.3 Implementing AI in Recruitment and Onboarding

    Module 3: Enhancing Employee Experience and Engagement.

    1. 3.1 Personalizing Employee Development with AI
    2. 3.2 AI for Employee Engagement and Sentiment Analysis
    3. 3.3 Implementing AI Solutions for Employee Experience

    Module 4: Workforce Analytics and Talent Management.

    1. 4.1 Introduction to Workforce Analytics
    2. 4.2 Predictive Analytics for HR
    3. 4.3 AI in Talent Management and Succession Planning
    4. 4.4 Ethical Considerations in Workforce Analytics

    Module 5: Ethical AI and Bias Mitigation.

    1. 5.1 Understanding Ethical AI in HR
    2. 5.2 Identifying and Mitigating Bias in AI Tools
    3. 5.3 Implementing Ethical AI Practices in HR
    4. 5.4 Building an Ethical AI Culture

    Module 6: Legal Considerations in AI for HR.

    1. 6.1 Legal Landscape for AI in HR
    2. 6.2 Compliance Strategies for AI in HR
    3. 6.3 Navigating Regulatory Changes
    4. 6.4 Ethical and Legal Alignment

    Module 7: Preparing for the Future of AI in HR.

    1. 7.1 Future Trends in AI and HR
    2. 7.2 Building Organizational Readiness for AI
    3. 7.3 Strategic Planning for AI Adoption
    4. 7.4 Ethical and Future Considerations

    Module 8: Implementing AI in HR: A Practical Workshop.

    1. 8.1 Project Planning and Design
    2. 8.2 Implementation Strategy
    3. 8.3 Monitoring, Evaluation, and Scaling
    4. 8.4 Ethical and Legal Considerations

    Optional Module: AI Agents for Human Resources.

    1. 1. Understanding AI Agents
    2. 2. Case Studies
    3. 3. Hands-On Practice with AI Agents

     

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