AI+ Human Resources Practitioner™

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The AI+ Human Resources Practitioner™ certification equips HR professionals and business leaders with the knowledge and practical skills to integrate artificial intelligence into modern human resource management.

The course explores AI-powered recruitment and onboarding, employee engagement, workforce analytics, talent management, performance-related insights and AI-supported HR decision-making. Participants also learn how to address bias, ethical considerations, legal requirements and regulatory changes when using AI in HR. Through practical workshops, case studies and hands-on activities, the programme helps HR professionals use AI responsibly to improve efficiency, workforce decision-making and employee experiences.

Duration

Self-Paced: Approximately 8 hours of on-demand content.
Includes on-demand video lessons, an e-book and podcasts.
Modular quizzes are included to help learners track their progress.

Who Should Attend

HR Professionals: Enhance HR processes by integrating AI tools that improve recruitment, employee engagement and workforce management.
Talent Acquisition Specialists: Leverage AI to find, assess and engage candidates more effectively.
People Analytics Experts: Apply AI-driven analytics to improve HR decision-making, performance management and workforce planning.
Business Leaders: Implement AI strategies that streamline HR operations and align talent management with organisational objectives.
Students & New Graduates: Build a competitive foundation in AI-driven HR solutions and prepare for the future of HR technology.

Prerequisites

Basic understanding of human resource management principles.
Knowledge of AI concepts and their 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 HR and workforce development.

Course Content

Course Overview

Course Introduction

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

Optional Module: AI Agents for Human Resources

Understanding AI Agents
Case Studies
Hands-On Practice with AI Agents

Tools You’ll Explore

TensorFlow
Scikit-learn
AI Fairness 360
Zotero

Why This Certification Matters

AI-Driven Recruitment Strategies: Learn to use AI for data-driven recruitment, improving talent acquisition processes and decision-making.
AI-Enhanced Performance Management: Develop skills in using AI and machine learning to evaluate and improve employee performance.
Ethical AI in HR: Understand how to implement ethical AI practices that promote fairness, transparency and responsible decision-making.
Data-Driven HR: Use workforce analytics and AI-driven insights to support better talent and workforce decisions.
Competitive Advantage: Build practical AI expertise that can help HR professionals lead in an increasingly AI-driven workplace.

Skills You’ll Gain

Strategic Implementation of AI
Data-Driven Decision Making
Legal Compliance
Future-Readiness in HR Technologies
AI-Enhanced Recruitment and Onboarding
Workforce Analytics
AI-Assisted Talent Management
Ethical AI and Bias Mitigation
AI-Supported Employee Engagement
AI Implementation and Scaling in HR

Job Roles & Industry Outlook

AI HR Specialist: Implement and manage AI-driven HR tools to optimise recruitment and employee engagement.
Talent Acquisition Analyst: Use AI to analyse and assess candidates and improve hiring decisions.
People Analytics Specialist: Leverage AI to analyse workforce data and support decisions that enhance employee performance and retention.
HR Automation Manager: Oversee AI-based automation systems for recruitment, payroll and performance management.
AI Integration Consultant (HR): Guide organisations in integrating AI technologies into HR processes to improve efficiency and decision-making.

Exam Details

Duration: 90 minutes
Passing Score: 70% (35/50)
Format: 50 multiple-choice/multiple-response questions
Delivery Method: Online via a proctored exam platform with flexible scheduling.
Exam Retake: One free retake is included.