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AI+ Human Resources™ Self-Paced Online Course
USD$195.00 (GST excl.)
Building Tomorrow’s Workforce Today with AI-Driven Solutions
- 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
Overview
- 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
Who should enroll
- HR Professionals: Enhance your 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, ensuring the best talent for your organization.
- People Analytics Experts: Apply AI-driven analytics to enhance decision-making in HR, from performance reviews to predictive workforce trends.
- Business Leaders: Learn to implement AI strategies that streamline HR operations and align talent management with business objectives.
- Students & New Graduates: Build a competitive resume by mastering AI-driven HR solutions and preparing for a future in HR tech.
Why this certification matters
- AI-Driven Recruitment Strategies: Learn to leverage AI for data-driven recruitment, improving talent acquisition processes and decision-making.
- AI-Enhanced Performance Management: Gain skills in using AI and machine learning to evaluate and optimize employee performance effectively.
- Ethical AI in HR: Understand and implement ethical guidelines for AI usage in HR, ensuring fairness and transparency in decisions.
- Competitive Edge in HR: Stand out in the HR field by mastering AI integration, positioning yourself as a leader in the AI-driven HR era.
Learning Modules
10 modules
01Certification Overview
Course Introduction Preview
02Module 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
1.2 AI’s Role in HR Evolution
1.3 AI Applications in HR
1.4 Preparing HR for AI Integration
03Module 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
2.2 Enhancing Onboarding with AI
2.3 Implementing AI in Recruitment and Onboarding
04Module 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
3.2 AI for Employee Engagement and Sentiment Analysis
3.3 Implementing AI Solutions for Employee Experience
05Module 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
4.2 Predictive Analytics for HR
4.3 AI in Talent Management and Succession Planning
4.4 Ethical Considerations in Workforce Analytics
06Module 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
5.2 Identifying and Mitigating Bias in AI Tools
5.3 Implementing Ethical AI Practices in HR
5.4 Building an Ethical AI Culture
07Module 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
6.2 Compliance Strategies for AI in HR
6.3 Navigating Regulatory Changes
6.4 Ethical and Legal Alignment
08Module 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
7.2 Building Organizational Readiness for AI
7.3 Strategic Planning for AI Adoption
7.4 Ethical and Future Considerations
09Module 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
8.2 Implementation Strategy
8.3 Monitoring, Evaluation, and Scaling
8.4 Ethical and Legal Considerations
10Optional Module: AI Agents for Human Resources
1. Understanding AI Agents
2. Case Studies
3. Hands-On Practice with AI Agents
2. Case Studies
3. Hands-On Practice with AI Agents
Tools Covered
TensorFlow
Scikit-learn
AI Fairness 360
Zotero
| Format | Online, self-paced |
|---|---|
| Duration | Instructor-Led: 1 day (live or virtual) |
| Exam | 50 questions, 70% passing, 90 minutes, online proctored exam |
| Included | Self-paced course + Official exam + Digital badge |
| Prerequisites | Understanding of human resource, Familiarity with data analysis, fundamental AI/ML concepts |
| Delivery | Projects & case studies |
| Outcome | Industry-recognized credential + hands-on experience |
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