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AI+ HR™ Spanish

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Introduction

Course Introduction

Audio Book: Introduction AI+ HR

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

1.1 AI Basics: Overview of AI, ML, DL, and NLP

1.1.1 ML: Types and impact on HR

1.2 Understanding Algorithms: Basics of AI learning from data

1.3 AI in Everyday Life: Examples of AI in Daily Tasks

1.4 From Traditional to Digital

1.5 Case Studies

1.6 Impact of AI on HR Roles

1.7 Recruitment and Selection

1.8 Employee Engagement

1.9 Performance Management

1.10 Skills Gap Analysis

1.11 Cultural Adaptation

1.12 Ethical and Responsible AI Use

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

Audio Book: Introduction to Foundations of Artificial Intelligence (AI) in HR

Podcast: Introduction to Foundations of Artificial Intelligence (AI) in HR

Quiz

Module 2: AI-Enhanced Recruitment and Onboarding

2.1 Introduction to AI in Recruitment

2.2 AI Tools and Techniques

2.3 Case Studies

2.4 Role of AI in Onboarding

2.5 AI-Powered Onboarding Solutions

2.6 Benefits and Challenges

2.7 Strategies for Adoption

2.8 Measuring Success

2.9 Ethical Considerations and Bias Mitigation

Module 2: AI-Enhanced Recruitment and Onboarding

Audio Book: AI-Enhanced Recruitment and Onboarding

Podcast: AI-Enhanced Recruitment and Onboarding

Quiz

Hands - On

Module 3: Enhancing Employee Experience and Engagement

3.1 Overview: AI’s Role in Strategic Talent Development

3.2 AI in Performance Management

3.2.1 AI in Team Performance and Behavior Analytics

3.2.2 AI-Powered Goal Tracking and Predictive Performance Models

3.3 Career Pathing and Internal Mobility

3.3.1 AI Mapping Career Trajectories, Matching Roles, and Growth Opportunities

3.4 Real-World Application (Case Study Snippet)

3.5 Importance of Employee Feedback

3.6 AI Tools for Sentiment Analysis

3.7 Engagement Strategies Powered by AI

3.8 Best Practices for Adoption: Guidelines for integrating AI technologies

3.9 Measuring Impact

3.10 Ethical Considerations and Privacy

Module 3: Enhancing Employee Experience and Engagement

Audio Book: Enhancing Employee Experience and Engagement

Podcast: Enhancing Employee Experience and Engagement

Quiz

Hands On

Module 4: Workforce Analytics and Talent Management

4.1 Overview of Workforce Analytics

4.2 Role of AI in Workforce Analytics: Enhancing Decision-Making Through AI

4.3 Data-Driven Talent Management: AI for Talent Strategies

4.3.1 Predictive Analytics is HR Practices

4.4 Predictive Models in HR

4.5 Building Predictive Models

4.6 Challenges and Solutions

4.7 AI-Driven Talent Identification

4.8 Succession Planning with AI

4.9 Integrating AI into Talent Management Processes

4.10 Ethics and Privacy in Data Use

4.11 Bias Mitigation in AI Models

4.12 Building Trust and Transparency

Module 4: Workforce Analytics and Talent Management

Audio Book: Workforce Analytics and Talent Management

Podcast: Workforce Analytics and Talent Management

Quiz

Hands - On

Module 5: Ethical AI and Bias Mitigation

5.1 Introduction to Ethical AI

5.2 Ethical Considerations

5.3 Frameworks for Ethical AI

5.4 Sources of Bias in AI

5.5 Strategies for Bias Mitigation

5.6 Case Studies

5.7 Operationalizing Ethical AI

5.8 Stakeholder Engagement

5.9 Monitoring and Governance

5.10 Education and Awareness

5.11 Leadership and Accountability

5.12 Future Challenges

Module 5: Ethical AI and Bias Mitigation

Audio Book: Ethical AI and Bias Mitigation

Podcast: Ethical AI and Bias Mitigation

Quiz

Hands - On

Module 6: Legal Considerations in AI for HR

6.1 Introduction to Legal Considerations

6.2 Data Protection and Privacy Laws

6.3 Employment Law Implications

6.4 Conducting AI Audits

6.5 Risk Assessment and Mitigation

6.6 Documentation and Transparency

6.7 Keeping Up with Regulatory Changes

6.8 Stakeholder Engagement

6.9 International Considerations

6.10 Aligning Ethical and Legal Considerations

6.11 Developing Ethical and Legal Guidelines

6.12 Case Studies

Module 6: Legal Considerations in AI for HR

Audio Book: Legal Considerations in AI for HR

Podcast: Legal Considerations in AI for HR

Quiz

Hands - On

Module 7: Preparing for the Future of AI in HR

7.1 Emerging AI Technologies

7.2 Trends Shaping the Future of HR

7.3 Predictions for AI in HR

7.4 Skills Development for HR Professionals

7.5 Fostering a Culture of Innovation

7.6 Infrastructure and Governance for AI

7.7 Assessing Organizational Readiness

7.8 Strategic Planning for AI Integration

7.9 Change Management for AI Implementation

7.10 Maintaining Ethical Standards in Future AI Applications

7.11 Anticipating Unintended Consequences

7.12 Sustainable AI Practices

Module 7: Preparing for the Future of AI in HR

Audio Book: Preparing for the Future of AI in HR

Podcast: Preparing for the Future of AI in HR

Quiz

Module 8: Implementing AI in HR: A Practical Workshop

8.1 Identifying HR Challenges

8.2 Selecting AI Solutions

8.3 Designing the AI Project

8.4 Stakeholder Engagement

8.5 Data Management and Governance

8.6 Pilot Testing and Iteration

8.7 Performance Metrics and KPIs

8.8 Feedback Loops and Continuous Improvement

8.9 Scaling and Integration

8.10 Revisiting Ethical AI Use

8.11 Legal Compliance

8.12 Sustainability and Social Impact

Module 8: Implementing AI in HR: A Practical Workshop

Audio Book: Implementing AI in HR: A Practical Workshop

Podcast: Implementing AI in HR: A Practical Workshop

Quiz

Course Summary

Course Summary

AI Agent HR

1.1 What Are AI Agents?

1.2 AI Agents in Human Resources

1.3 Importance of AI Agents

1.4 Types of AI Agents

1.5 Case Study

Hands - On Capstone Project 1

Hands - On Capstone Project 2

Hands - On Capstone Project 3

Hands - On Capstone Project 4

Graded Assessment- 5 Questions

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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