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Applied AI for Human Resources

A practical course that helps HR professionals leverage AI and Generative AI to enhance recruitment, employee development, performance management, and workforce planning. Participants will learn how to use AI tools responsibly to improve efficiency and support data-driven HR decisions.

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Language

English

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Global Accreditation

Global Accreditation

Flexible Learning

Flexible Learning

About this Course

By the end of this course, learners will be able to: 

  • Use Artificial Intelligence and Generative AI to improve HR efficiency, consistency, 
    and decision-making.
  • Apply AI responsibly across recruitment, learning, performance management, 
    employee experience, and workforce planning.
  • Transform workforce data into practical people insights while maintaining human 
    oversight, fairness, and privacy.
  • Develop a practical roadmap for introducing AI into HR operations and measuring 
    its business value.

This course is designed for: 

  •  HR professionals seeking practical ways to integrate AI into their daily work.
  • HR managers and business partners aiming to improve people-related decision
    making.
  • Talent acquisition and recruitment specialists responsible for sourcing, screening, 
    and candidate experience.
  • Learning and development, performance management, and employee experience 
    professionals.
  • People analytics practitioners and professionals interested in responsible HR 
    digital transformation.
  • Professionals with no technical background who want to build confidence in using 
    AI for HR.

By completing this course, learners will gain the ability to: 

  • Differentiate between AI, Generative AI, automation, and analytics in HR contexts.
  • Write effective HR prompts and build a reusable prompt library for daily HR 
    activities.
  • Use AI to draft HR communications, policies, reports, job descriptions, interview questions 
    guides, and learning materials.
  • Apply AI to support recruitment, candidate matching, learning paths, assessments, 
    SMART goals, and performance reviews.
  • Analyze employee feedback, engagement data, turnover trends, skills gaps, and 
    workforce planning needs.
  • Select meaningful HR KPIs and design an HR AI dashboard blueprint linked to 
    business outcomes.
  • Evaluate HR AI tools, manage bias and privacy risks, measure ROI, and develop a 
    90-day adoption roadmap.

Learn your way, at your pace.

Get the skills you need with a flexible learning experience designed to fit your lifestyle.

Applied AI for Human Resources - Self Study

Best for busy learners who need flexibility.

Self Study

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Course Inclusions

  • AI and Generative AI basics for HR professionals
  • AI vs automation vs analytics
  • How AI is changing HR roles, tasks, and decisions
  • Practical HR use cases and common limitations
  • Generative AI in the HR workplace 
  • Writing effective HR prompts using the HR Prompt Formula 
  • Drafting HR emails, policies, reports, and announcements 
  • Summarizing HR documents and employee feedback 
  • Creating recruitment and learning materials 
  • Building a practical HR Prompt Library 
  • Role analysis and job posting optimization 
  • CV screening support and candidate matching 
  • Interview guides, evaluation criteria, and scorecards 
  • Candidate communication and scheduling automation 
  • Bias risks, responsible hiring controls, and AI-assisted recruitment workflows
  • Training needs analysis and skills gap identification 
  • Personalized learning paths and recommendations 
  • Quiz, assessment, and knowledge-check generation 
  • SMART goal-setting and performance review support 
  • Employee engagement and sentiment analysis 
  • Employee development and engagement action planning 
  • HR reporting vs. HR analytics 
  • Using AI to understand HR data and identify trends 
  • Skills gap, turnover, retention, and workforce planning insights 
  • HR dashboards and KPI selection 
  • Connecting HR data to business outcomes 
  • Developing an HR AI Dashboard Blueprint
  • Bias, fairness, privacy, transparency, and explainability
  • Human-in-the-Loop decision-making in HR 
  • When AI should not be used as the decision-maker 
  • AI vendor and tool evaluation checklist 
  • Measuring AI ROI using practical HR KPIs 
  • Developing a 90-Day HR AI Adoption Roadmap

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