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AI+ HR™ Self-Paced Learning
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Introduction
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Introduction AI+ HR - Audio File
Module 1: Introduction to Foundations of Artificial Intelligence (AI) in HR
1.0 Introduction: Foundations of Artificial Intelligence (AI) in HR
1.1 Introduction: AI Technologies
1.2 AI Basics: Overview of AI, ML, DL, and NLP
1.3 Understanding Algorithms: Basics of AI learning from data.
1.4 AI in Everyday Life: Examples of AI in Daily Tasks
1.5 Introduction: AI's Role in HR Evolution
1.6 From Traditional to Digital
1.7 Case Studies
1.8 Impact of AI on HR Roles
1.9 Introduction: AI Applications in HR
1.10 Recruitment and Selection
1.11 Employee Engagement
1.12 Performance Management
1.13 Introduction: Preparing HR for AI Integration
1.14 Skills Gap Analysis
1.15 Cultural Adaptation
1.16 Ethical and Responsible AI Use
1.17 Summary: Introduction to Foundations of Artificial Intelligence (AI) in HR
Introduction to Foundations of Artificial Intelligence (AI) in HR - Audio File
Module 1: Introduction to Foundations of Artificial Intelligence (AI) in HR
Quiz
Module 2: AI-Enhanced Recruitment and Onboarding
2.0 Introduction: AI-Enhanced Recruitment and Onboarding
2.1 Introduction: Revolutionizing Recruitment with AI
2.2 Introduction to AI in Recruitment
2.3 AI Tools and Techniques
2.4 Case Studies
2.5 Introduction: Enhancing Onboarding with AI
2.6 Role of AI in Onboarding
2.7 AI-Powered Onboarding Solutions
2.8 Benefits and Challenges
2.9 Introduction: Implementing AI in Recruitment and Onboarding
2.10 Strategies for Adoption
2.11 Measuring Success
2.12 Ethical Considerations and Bias Mitigation
2.13 Summary: AI-Enhanced Recruitment and Onboarding
AI-Enhanced Recruitment and Onboarding - Audio File
Module 2: AI-Enhanced Recruitment and Onboarding
Quiz
Module 3: Enhancing Employee Experience and Engagement
3.0 Introduction: Enhancing Employee Experience and Engagement
3.1 Introduction: Personalizing Employee Development with AI
3.2 Overview of AI in L&D: AI Reshaping L&D for Personalized Paths
3.3 AI-Driven L&D Tools: Tools for Customizing Learning Experiences
3.4 Case Studies: Examples of AI-driven L&D success
3.5 Introduction: AI for Employee Engagement and Sentiment Analysis
3.6 Importance of Employee Feedback
3.7 AI Tools for Sentiment Analysis
3.8 Engagement Strategies Powered by AI
3.9 Introduction: Implementing AI Solutions for Employee Experience
3.10 Best Practices for Adoption: Guidelines for integrating AI technologies
3.11 Measuring Impact
3.12 Ethical Considerations and Privacy
3.13 Summary: Enhancing Employee Experience and Engagement
Enhancing Employee Experience and Engagement - Audio File
Module 3: E-Book
Quiz
Module 4: Workforce Analytics and Talent Management
4.0 Introduction: Workforce Analytics and Talent Management
4.1 Introduction: Introduction to Workforce Analytics
4.2 Overview of Workforce Analytics
4.3 Role of AI in Workforce Analytics: Enhancing Decision-Making Through AI
4.4 Data-Driven Talent Management: AI for Talent Strategies
4.5 Introduction: Predictive Analytics for HR
4.6 Predictive Models in HR
4.7 Building Predictive Models
4.8 Challenges and Solutions
4.9 Introduction: AI in Talent Management and Succession Planning
4.10 AI-Driven Talent Identification
4.11 Succession Planning with AI
4.12 Integrating AI into Talent Management Processes
4.13 Introduction: Ethical Considerations in Workforce Analytics
4.14 Ethics and Privacy in Data Use
4.15 Bias Mitigation in AI Models
4.16 Building Trust and Transparency
4.17 Summary: Workforce Analytics and Talent Management
Workforce Analytics and Talent Management - Audio File
Module 4: Workforce Analytics and Talent Management
Quiz
Module 5: Ethical AI and Bias Mitigation
5.0 Introduction: Ethical AI and Bias Mitigation
5.1 Introduction: Understanding Ethical AI in HR
5.2 Introduction to Ethical AI
5.3 Frameworks for Ethical AI
5.4 Introduction: Identifying and Mitigating Bias in AI Tools
5.5 Sources of Bias in AI
5.6 Strategies for Bias Mitigation
5.7 Case Studies
5.8 Introduction: Implementing Ethical AI Practices in HR
5.9 Operationalizing Ethical AI
5.10 Stakeholder Engagement
5.11 Monitoring and Governance
5.12 Introduction: Building an Ethical AI Culture
5.13 Education and Awareness
5.14 Leadership and Accountability
5.15 Future Challenges
5.16 Summary: Ethical AI and Bias Mitigation
Ethical AI and Bias Mitigation - Audio File
Module 5: Ethical AI and Bias Mitigation
Quiz
Module 6: Legal Considerations in AI for HR
6.0 Introduction: Legal Considerations in AI for HR
6.1 Introduction: Legal Landscape for AI in HR
6.2 Introduction to Legal Considerations
6.3 Data Protection and Privacy Laws
6.4 Employment Law Implications
6.5 Introduction: Compliance Strategies for AI in HR
6.6 Conducting AI Audits
6.7 Risk Assessment and Mitigation
6.8 Documentation and Transparency
6.9 Introduction: Navigating Regulatory Changes
6.10 Keeping Up with Regulatory Changes
6.11 Stakeholder Engagement
6.12 International Considerations
6.13 Introduction: Ethical and Legal Alignment
6.14 Aligning Ethical and Legal Considerations
6.15 Developing Ethical and Legal Guidelines
6.16 Case Studies
6.17 Summary: Legal Considerations in AI for HR
Legal Considerations in AI for HR - Audio File
Module 6: Legal Considerations in AI for HR
Quiz
Module 7: Preparing for the Future of AI in HR
7.0 Introduction: Preparing for the Future of AI in HR
7.1 Introduction: Future Trends in AI and HR
7.2 Beyond Traditional Interfaces
7.3 Trends Shaping the Future of HR
7.4 Predictions for AI in HR
7.5 Introduction: Building Organizational Readiness for AI
7.6 Skills Development for HR Professionals
7.7 Fostering a Culture of Innovation
7.8 Infrastructure and Governance for AI
7.9 Introduction: Strategic Planning for AI Adoption
7.10 Assessing Organizational Readiness
7.11 Strategic Planning for AI Integration
7.12 Change Management for AI Implementation
7.13 Introduction: Ethical and Future Considerations
7.14 Maintaining Ethical Standards in Future AI Applications
7.15 Anticipating Unintended Consequences
7.16 Sustainable AI Practices
7.17 Summary: Preparing for the Future of AI in HR
Preparing for the Future of AI in HR - Audio File
Module 7: Preparing for the Future of AI in HR
Quiz
Module 8: Implementing AI in HR: A Practical Workshop
8.0 Introduction: Implementing AI in HR: A Practical Workshop
8.1 Introduction: Project Planning and Design
8.2 Identifying HR Challenges
8.3 Selecting AI Solutions
8.4 Designing the AI Project
8.5 Introduction: Implementation Strategy
8.6 Stakeholder Engagement
8.7 Data Management and Governance
8.8 Pilot Testing and Iteration
8.9 Introduction: Monitoring, Evaluation, and Scaling
8.10 Performance Metrics and KPIs
8.11 Feedback Loops and Continuous Improvement
8.12 Scaling and Integration
8.13 Introduction: Ethical and Legal Considerations
8.14 Revisiting Ethical AI Use
8.15 Legal Compliance
8.16 Sustainability and Social Impact
8.17 Summary: Implementing AI in HR: A Practical Workshop
Implementing AI in HR: A Practical Workshop - Audio File
Module 8: Implementing AI in HR: A Practical Workshop
Quiz
Additional Module - AI Agents For HR
AI Agent HR
Resources
AI+ HR Blueprint
AI+ HR Detailed Curriculum
AI+ HR Tools
AI+ HR Resources and References
AI CERTs Exam Guidelines
AI CERTs Exam Guidelines
AI+ HR Examination
AI+ HR Examination
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AI+ HR™ Self-Paced Learning
