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AI CERTS® certification

AI+ Human Resources Practitioner™

Formerly known as AI+ Human Resources™ Building Tomorrow's Workforce Today with AI-Driven Solutions

AI+ Human Resources Practitioner™ certification badge

Course overview

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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

Included
Instructor-led OR Self-paced course + Official exam + Digital badge
Duration
Instructor-Led: 1 day (live or virtual)Self-Paced: 8 hours of content
Exam format
50 questions, 70% passing, 90 minutes, online proctored exam
Prerequisites
Understanding of human resource, Familiarity with data analysis, fundamental AI/ML concepts

Course focus

Why this certification may be relevant.

01

AI-Driven Recruitment Strategies:

Learn to leverage AI for data-driven recruitment, improving talent acquisition processes and decision-making.

02

AI-Enhanced Performance Management:

Gain skills in using AI and machine learning to evaluate and optimize employee performance effectively.

03

Ethical AI in HR:

Understand and implement ethical guidelines for AI usage in HR, ensuring fairness and transparency in decisions.

04

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.

Who it may suit

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Course content

Modules supplied by AI CERTs.

Open each module to review the stated topics.

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
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
04Module 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
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
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
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
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
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
10Optional Module: AI Agents for Human Resources
  • 1. Understanding AI Agents
  • 2. Case Study
  • 3. Hands-On Practice with AI Agents

Tools referenced by AI CERTs

Platforms and tools included in the course information.

TensorFlowScikit-learnAI Fairness 360Zotero
Before you enrol

This course information is supplied through the AI CERTs catalogue. Kiwi Fern Education will confirm current availability, delivery arrangements, inclusions and fees before enrolment. The programme is not presented as a New Zealand Qualifications Authority qualification.

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