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AI+ Human Resources Practitioner™

AI+ Human Resources Practitioner™
  • 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
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Certificate Code

AP-230

Exam Format

AI-Driven Remote Exam Proctoring

Course Overview

Important details and certification information

Instructor-led OR Self-paced course + Official exam + Digital badge
Instructor-Led: 3 Days (live or virtual)
Understanding of human resource, Familiarity with data analysis, fundamental AI/ML concepts
50 questions, 70% passing, 90 minutes, online proctored exam

Certification Modules

  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

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

  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

  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

  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

  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

  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

  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

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

AI Tools Covered

TensorFlow
Scikit-learn
AI Fairness 360
Zotero
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