AI+ Human Resources Practitioner™
- From 200 EUR + VAT
- Self-paced online Start anytime
- Duration 8 hours of content, self-paced
- Language English
- Topic AI Business
Overview
What the course covers
The course, the materials and the exam are in English. The description below is the original AI CERTs® text.
- 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
Prerequisites
Understanding of human resource, Familiarity with data analysis, fundamental AI/ML concepts
Audience
Who is it for
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.
In the price
What the price includes
- Self-paced online course with the full learning material
- The official AI CERTs® exam
- Digital badge after passing the exam
Course content
Syllabus
Certification Overview
Course Introduction Preview
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
1. Understanding AI Agents 2. Case Studies 3. Hands-On Practice with AI Agents
Exam
About the exam
- 50 Questions
- 90 min Time limit
- 70% Pass mark
- Online proctored exam
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