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AI+ Human Resources Practitioner™

Course code: NPAP230

Formerly known as AI+ Human Resources™

Building Tomorrow's Workforce Today with AI-Driven Solutions

  • AI in Workforce: Learn to integrate AI into recruitment processes and performance management systems.
  • Data-Driven HR: Gain insights into talent acquisition and employee evaluation through machine learning.
  • Ethical Application: Understand responsible AI practices within the context of people management.
  • Future-Ready Skills: Prepare to navigate evolving HR dynamics with greater efficiency and equity.
75 EUR

91 EUR including VAT

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Course dates

Starting date: Upon request

Guaranteed

Type: Self-paced

Course duration: 8 hours

Language: en

Price without VAT: 285 EUR

Register

Starting date: Upon request

Guaranteed

Type: Self-paced

Course duration: 8 hours

Language: en

Price without VAT: 75 EUR

Register

Starting
date		 Place
Type Course
duration		 Language Price without VAT
G Upon request Self-paced 8 hours en 285 EUR Register
G Upon request Self-paced 8 hours en 75 EUR Register
G Guaranteed course

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Course description

Strategic Implementation of AI

Learners will gain the ability to strategically implement AI technologies in various HR functions, including recruitment, onboarding, and employee engagement.

Legal Compliance

Participants will develop skills to navigate ethical considerations and legal requirements related to the use of AI in HR, ensuring fair practices and compliance with laws.

Data-Driven Decision Making

Learners who complete this course will gain the ability to analyze and leverage workforce analytics, enabling them to make informed decisions and effectively manage talent using AI tools.

Future-Readiness in HR Technologies

Learners will be prepared for future trends and technological advancements in AI for HR, allowing them to stay ahead in adapting and innovating HR practices.

Course structure

Certification Overview

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 Talent Development and Performance Optimization 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 Study
  • 3. Hands-On Practice with AI Agents

Prerequisites

  • A foundational understanding of human resource management principles.
  • Basic knowledge of AI concepts and their applications in business environments.
  • Some familiarity with data analysis and the interpretation of results.
  • Comfort with using computer software and tools for data handling.
  • A willingness to engage with technical subject matter and apply AI in HR contexts.

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