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Artificial Intelligence for Human Resources
CoursesArtificial Intelligence and Its Applications in Business
Professional Training Program

Artificial Intelligence for Human Resources

A practical AI business program covering AI in HR strategy, workforce analytics, employee lifecycle, and HR service delivery, AI-enabled recruitment, CV screening, candidate matching, interview analytics, and onboarding, learning and development, personalized learning paths, skills analytics, and performance support, performance management, engagement analytics, employee experience, and retention prediction, HR chatbots, policy support, employee relations, HR automation, and self-service tools, with case studies, templates, tool demonstrations, hands-on exercises, and applied outputs for workplace implementation.

Certificate Included
Expert-Led Training
Practical Learning
Enrollment Support
days
5 Days
Language
English / Arabic
Quotation Route

Request Schedule & Quotation

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Course Summary
Request Schedule & Quotation

No online payment is open for this course yet. Our team can send you the suitable quotation.

Runs monthly
Start Date
Flexible / Always Available
Certificate
Accredited Certificate
days
5 Days (Monthly)

Your quote arrives by email and in the client portal

Ask on WhatsApp
Course Details

Overview

The Artificial Intelligence for Human Resources course is a practical artificial intelligence and business applications program designed to build applied capability in AI in HR strategy, workforce analytics, employee lifecycle, and HR service delivery, AI-enabled recruitment, CV screening, candidate matching, interview analytics, and onboarding, learning and development, personalized learning paths, skills analytics, and performance support, performance management, engagement analytics, employee experience, and retention prediction. It helps participants understand how AI can improve productivity, decision-making, customer value, operational efficiency, risk control, and innovation.

The program covers AI in HR strategy, workforce analytics, employee lifecycle, and HR service delivery, AI-enabled recruitment, CV screening, candidate matching, interview analytics, and onboarding, learning and development, personalized learning paths, skills analytics, and performance support, performance management, engagement analytics, employee experience, and retention prediction, along with HR chatbots, policy support, employee relations, HR automation, and self-service tools, ethics, bias, fairness, privacy, PDPL compliance, and responsible use of employee data, HR AI implementation roadmap, metrics, and practical workplace use cases. Participants work with realistic business cases, AI tools, templates, demonstrations, scenario analysis, and applied exercises that can be adapted to their organization.

The course is designed for approximately 5 training day(s), with emphasis on practical execution, responsible AI use, data-driven thinking, governance awareness, and measurable workplace outputs.

Objectives

Program Objectives

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

  1. Understand AI in HR strategy, workforce analytics, employee lifecycle, and HR service delivery in realistic business scenarios related to Artificial Intelligence for Human Resources.
  2. Apply AI-enabled recruitment, CV screening, candidate matching, interview analytics, and onboarding in realistic business scenarios related to Artificial Intelligence for Human Resources.
  3. Analyze learning and development, personalized learning paths, skills analytics, and performance support in realistic business scenarios related to Artificial Intelligence for Human Resources.
  4. Evaluate performance management, engagement analytics, employee experience, and retention prediction in realistic business scenarios related to Artificial Intelligence for Human Resources.
  5. Develop HR chatbots, policy support, employee relations, HR automation, and self-service tools in realistic business scenarios related to Artificial Intelligence for Human Resources.
  6. Produce a practical work output such as an AI use-case brief, prompt library, analytical model, dashboard, governance checklist, implementation roadmap, or business-ready AI workflow according to the course topic.
Target Audience

Target Audience

This training program is designed for the following target audiences:

  1. Business leaders, managers, supervisors, specialists, analysts, consultants, and professionals who need to understand or apply AI in their work.
  2. HR managers, recruiters, L&D specialists, HR business partners, workforce analytics teams, and employee experience teams.
  3. Organizations seeking practical, responsible, and measurable AI adoption across business functions.
Competencies

Core Competencies

Apply AI in HR strategy, workforce analytics, employee lifecycle, and HR service delivery

Ability to apply AI in HR strategy, workforce analytics, employee lifecycle, and HR service delivery within Artificial Intelligence for Human Resources, using appropriate data, tools, templates, governance controls, practical analysis, and business-oriented recommendations.

Apply AI-enabled recruitment, CV screening, candidate matching, interview analytics, and onboarding

Ability to apply AI-enabled recruitment, CV screening, candidate matching, interview analytics, and onboarding within Artificial Intelligence for Human Resources, using appropriate data, tools, templates, governance controls, practical analysis, and business-oriented recommendations.

Apply Learning and development, personalized learning paths, skills analytics, and performance support

Ability to apply learning and development, personalized learning paths, skills analytics, and performance support within Artificial Intelligence for Human Resources, using appropriate data, tools, templates, governance controls, practical analysis, and business-oriented recommendations.

Apply Performance management, engagement analytics, employee experience, and retention prediction

Ability to apply performance management, engagement analytics, employee experience, and retention prediction within Artificial Intelligence for Human Resources, using appropriate data, tools, templates, governance controls, practical analysis, and business-oriented recommendations.

Apply HR chatbots, policy support, employee relations, HR automation, and self-service tools

Ability to apply HR chatbots, policy support, employee relations, HR automation, and self-service tools within Artificial Intelligence for Human Resources, using appropriate data, tools, templates, governance controls, practical analysis, and business-oriented recommendations.

Apply Ethics, bias, fairness, privacy, PDPL compliance, and responsible use of employee data

Ability to apply ethics, bias, fairness, privacy, PDPL compliance, and responsible use of employee data within Artificial Intelligence for Human Resources, using appropriate data, tools, templates, governance controls, practical analysis, and business-oriented recommendations.

Learning Journey

Program Outline

01

Day 1: Ai In Hr Strategy, Workforce Analytics, Employee Lifecycle, And Hr Service Delivery

Ai In Hr Strategy, Workforce Analytics, Employee Lifecycle, And Hr Service Delivery
This session develops practical competence in AI in HR strategy, workforce analytics, employee lifecycle, and HR service delivery as part of Artificial Intelligence for Human Resources. Participants review relevant concepts, examine realistic business or organizational scenarios, use AI tools or templates where applicable, discuss risks and governance considerations, and prepare an applied output that supports productivity, insight, responsible AI use, and workplace implementation.
Ai-Enabled Recruitment, Cv Screening, Candidate Matching, Interview Analytics, And Onboarding
This session develops practical competence in AI-enabled recruitment, CV screening, candidate matching, interview analytics, and onboarding as part of Artificial Intelligence for Human Resources. Participants review relevant concepts, examine realistic business or organizational scenarios, use AI tools or templates where applicable, discuss risks and governance considerations, and prepare an applied output that supports productivity, insight, responsible AI use, and workplace implementation.
Learning And Development, Personalized Learning Paths, Skills Analytics, And Performance Support
This session develops practical competence in learning and development, personalized learning paths, skills analytics, and performance support as part of Artificial Intelligence for Human Resources. Participants review relevant concepts, examine realistic business or organizational scenarios, use AI tools or templates where applicable, discuss risks and governance considerations, and prepare an applied output that supports productivity, insight, responsible AI use, and workplace implementation.
Performance Management, Engagement Analytics, Employee Experience, And Retention Prediction
This session develops practical competence in performance management, engagement analytics, employee experience, and retention prediction as part of Artificial Intelligence for Human Resources. Participants review relevant concepts, examine realistic business or organizational scenarios, use AI tools or templates where applicable, discuss risks and governance considerations, and prepare an applied output that supports productivity, insight, responsible AI use, and workplace implementation.
Hr Chatbots, Policy Support, Employee Relations, Hr Automation, And Self-Service Tools
This session develops practical competence in HR chatbots, policy support, employee relations, HR automation, and self-service tools as part of Artificial Intelligence for Human Resources. Participants review relevant concepts, examine realistic business or organizational scenarios, use AI tools or templates where applicable, discuss risks and governance considerations, and prepare an applied output that supports productivity, insight, responsible AI use, and workplace implementation.
02

Day 2: Ai-Enabled Recruitment, Cv Screening, Candidate Matching, Interview Analytics, And Onboarding

Ai-Enabled Recruitment, Cv Screening, Candidate Matching, Interview Analytics, And Onboarding
This session develops practical competence in AI-enabled recruitment, CV screening, candidate matching, interview analytics, and onboarding as part of Artificial Intelligence for Human Resources. Participants review relevant concepts, examine realistic business or organizational scenarios, use AI tools or templates where applicable, discuss risks and governance considerations, and prepare an applied output that supports productivity, insight, responsible AI use, and workplace implementation.
Learning And Development, Personalized Learning Paths, Skills Analytics, And Performance Support
This session develops practical competence in learning and development, personalized learning paths, skills analytics, and performance support as part of Artificial Intelligence for Human Resources. Participants review relevant concepts, examine realistic business or organizational scenarios, use AI tools or templates where applicable, discuss risks and governance considerations, and prepare an applied output that supports productivity, insight, responsible AI use, and workplace implementation.
Performance Management, Engagement Analytics, Employee Experience, And Retention Prediction
This session develops practical competence in performance management, engagement analytics, employee experience, and retention prediction as part of Artificial Intelligence for Human Resources. Participants review relevant concepts, examine realistic business or organizational scenarios, use AI tools or templates where applicable, discuss risks and governance considerations, and prepare an applied output that supports productivity, insight, responsible AI use, and workplace implementation.
Hr Chatbots, Policy Support, Employee Relations, Hr Automation, And Self-Service Tools
This session develops practical competence in HR chatbots, policy support, employee relations, HR automation, and self-service tools as part of Artificial Intelligence for Human Resources. Participants review relevant concepts, examine realistic business or organizational scenarios, use AI tools or templates where applicable, discuss risks and governance considerations, and prepare an applied output that supports productivity, insight, responsible AI use, and workplace implementation.
Ethics, Bias, Fairness, Privacy, Pdpl Compliance, And Responsible Use Of Employee Data
This session develops practical competence in ethics, bias, fairness, privacy, PDPL compliance, and responsible use of employee data as part of Artificial Intelligence for Human Resources. Participants review relevant concepts, examine realistic business or organizational scenarios, use AI tools or templates where applicable, discuss risks and governance considerations, and prepare an applied output that supports productivity, insight, responsible AI use, and workplace implementation.
03

Day 3: Learning And Development, Personalized Learning Paths, Skills Analytics, And Performance Support

Learning And Development, Personalized Learning Paths, Skills Analytics, And Performance Support
This session develops practical competence in learning and development, personalized learning paths, skills analytics, and performance support as part of Artificial Intelligence for Human Resources. Participants review relevant concepts, examine realistic business or organizational scenarios, use AI tools or templates where applicable, discuss risks and governance considerations, and prepare an applied output that supports productivity, insight, responsible AI use, and workplace implementation.
Performance Management, Engagement Analytics, Employee Experience, And Retention Prediction
This session develops practical competence in performance management, engagement analytics, employee experience, and retention prediction as part of Artificial Intelligence for Human Resources. Participants review relevant concepts, examine realistic business or organizational scenarios, use AI tools or templates where applicable, discuss risks and governance considerations, and prepare an applied output that supports productivity, insight, responsible AI use, and workplace implementation.
Hr Chatbots, Policy Support, Employee Relations, Hr Automation, And Self-Service Tools
This session develops practical competence in HR chatbots, policy support, employee relations, HR automation, and self-service tools as part of Artificial Intelligence for Human Resources. Participants review relevant concepts, examine realistic business or organizational scenarios, use AI tools or templates where applicable, discuss risks and governance considerations, and prepare an applied output that supports productivity, insight, responsible AI use, and workplace implementation.
Ethics, Bias, Fairness, Privacy, Pdpl Compliance, And Responsible Use Of Employee Data
This session develops practical competence in ethics, bias, fairness, privacy, PDPL compliance, and responsible use of employee data as part of Artificial Intelligence for Human Resources. Participants review relevant concepts, examine realistic business or organizational scenarios, use AI tools or templates where applicable, discuss risks and governance considerations, and prepare an applied output that supports productivity, insight, responsible AI use, and workplace implementation.
Hr Ai Implementation Roadmap, Metrics, And Practical Workplace Use Cases
This session develops practical competence in HR AI implementation roadmap, metrics, and practical workplace use cases as part of Artificial Intelligence for Human Resources. Participants review relevant concepts, examine realistic business or organizational scenarios, use AI tools or templates where applicable, discuss risks and governance considerations, and prepare an applied output that supports productivity, insight, responsible AI use, and workplace implementation.
04

Day 4: Performance Management, Engagement Analytics, Employee Experience, And Retention Prediction

Performance Management, Engagement Analytics, Employee Experience, And Retention Prediction
This session develops practical competence in performance management, engagement analytics, employee experience, and retention prediction as part of Artificial Intelligence for Human Resources. Participants review relevant concepts, examine realistic business or organizational scenarios, use AI tools or templates where applicable, discuss risks and governance considerations, and prepare an applied output that supports productivity, insight, responsible AI use, and workplace implementation.
Hr Chatbots, Policy Support, Employee Relations, Hr Automation, And Self-Service Tools
This session develops practical competence in HR chatbots, policy support, employee relations, HR automation, and self-service tools as part of Artificial Intelligence for Human Resources. Participants review relevant concepts, examine realistic business or organizational scenarios, use AI tools or templates where applicable, discuss risks and governance considerations, and prepare an applied output that supports productivity, insight, responsible AI use, and workplace implementation.
Ethics, Bias, Fairness, Privacy, Pdpl Compliance, And Responsible Use Of Employee Data
This session develops practical competence in ethics, bias, fairness, privacy, PDPL compliance, and responsible use of employee data as part of Artificial Intelligence for Human Resources. Participants review relevant concepts, examine realistic business or organizational scenarios, use AI tools or templates where applicable, discuss risks and governance considerations, and prepare an applied output that supports productivity, insight, responsible AI use, and workplace implementation.
Hr Ai Implementation Roadmap, Metrics, And Practical Workplace Use Cases
This session develops practical competence in HR AI implementation roadmap, metrics, and practical workplace use cases as part of Artificial Intelligence for Human Resources. Participants review relevant concepts, examine realistic business or organizational scenarios, use AI tools or templates where applicable, discuss risks and governance considerations, and prepare an applied output that supports productivity, insight, responsible AI use, and workplace implementation.
Ai In Hr Strategy, Workforce Analytics, Employee Lifecycle, And Hr Service Delivery
This session develops practical competence in AI in HR strategy, workforce analytics, employee lifecycle, and HR service delivery as part of Artificial Intelligence for Human Resources. Participants review relevant concepts, examine realistic business or organizational scenarios, use AI tools or templates where applicable, discuss risks and governance considerations, and prepare an applied output that supports productivity, insight, responsible AI use, and workplace implementation.
05

Day 5: Hr Chatbots, Policy Support, Employee Relations, Hr Automation, And Self-Service Tools

Hr Chatbots, Policy Support, Employee Relations, Hr Automation, And Self-Service Tools
This session develops practical competence in HR chatbots, policy support, employee relations, HR automation, and self-service tools as part of Artificial Intelligence for Human Resources. Participants review relevant concepts, examine realistic business or organizational scenarios, use AI tools or templates where applicable, discuss risks and governance considerations, and prepare an applied output that supports productivity, insight, responsible AI use, and workplace implementation.
Ethics, Bias, Fairness, Privacy, Pdpl Compliance, And Responsible Use Of Employee Data
This session develops practical competence in ethics, bias, fairness, privacy, PDPL compliance, and responsible use of employee data as part of Artificial Intelligence for Human Resources. Participants review relevant concepts, examine realistic business or organizational scenarios, use AI tools or templates where applicable, discuss risks and governance considerations, and prepare an applied output that supports productivity, insight, responsible AI use, and workplace implementation.
Hr Ai Implementation Roadmap, Metrics, And Practical Workplace Use Cases
This session develops practical competence in HR AI implementation roadmap, metrics, and practical workplace use cases as part of Artificial Intelligence for Human Resources. Participants review relevant concepts, examine realistic business or organizational scenarios, use AI tools or templates where applicable, discuss risks and governance considerations, and prepare an applied output that supports productivity, insight, responsible AI use, and workplace implementation.
Ai In Hr Strategy, Workforce Analytics, Employee Lifecycle, And Hr Service Delivery
This session develops practical competence in AI in HR strategy, workforce analytics, employee lifecycle, and HR service delivery as part of Artificial Intelligence for Human Resources. Participants review relevant concepts, examine realistic business or organizational scenarios, use AI tools or templates where applicable, discuss risks and governance considerations, and prepare an applied output that supports productivity, insight, responsible AI use, and workplace implementation.
Ai-Enabled Recruitment, Cv Screening, Candidate Matching, Interview Analytics, And Onboarding
This session develops practical competence in AI-enabled recruitment, CV screening, candidate matching, interview analytics, and onboarding as part of Artificial Intelligence for Human Resources. Participants review relevant concepts, examine realistic business or organizational scenarios, use AI tools or templates where applicable, discuss risks and governance considerations, and prepare an applied output that supports productivity, insight, responsible AI use, and workplace implementation.
Learning And Development, Personalized Learning Paths, Skills Analytics, And Performance Support
This session develops practical competence in learning and development, personalized learning paths, skills analytics, and performance support as part of Artificial Intelligence for Human Resources. Participants review relevant concepts, examine realistic business or organizational scenarios, use AI tools or templates where applicable, discuss risks and governance considerations, and prepare an applied output that supports productivity, insight, responsible AI use, and workplace implementation.
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