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AI-Powered HR Professional Certification

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From HR Fundamentals to AI, Analytics, Strategy & Digital Transformation with Role Play
1
1/5
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0 students
Created by Human and Emotion: CHRMI
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What you'll learn

  • AI & Generative AI: Understand how AI and Generative AI are transforming HR; use ChatGPT, Claude, Copilot, or equivalent AI tools for HR activities;
  • Write effective HR prompts; build reusable AI workflows; identify AI limitations, bias, and hallucination risks; and apply responsible AI
  • HR Analytics & Data: Understand key HR metrics; analyse recruitment, attrition, engagement, and performance data; build HR dashboards
  • Interpret workforce trends; use AI to generate people insights; and translate data into actionable business recommendations.
  • Talent Acquisition: Apply AI across sourcing, screening, and interviewing; design skills-based hiring processes; improve candidate experience
  • Develop employer branding and recruitment marketing strategies; and apply talent intelligence and executive search principles.
  • Strategic HR: Develop an HR business partner mindset; align HR strategy with business strategy; develop workforce plans; forecast future talent requirements;
  • Employee Experience & Culture: Map the employee journey; identify employee experience gaps; design culture interventions; build psychological safety
  • Develop employee wellbeing and burnout-prevention initiatives; and build, maintain, and restore organisational trust.
  • Skills & Workforce Transformation: Build skills inventories; conduct skills-gap analysis; identify future skills requirements; develop reskilling and upskilling
  • Design competency frameworks; and establish career architecture and internal mobility pathways.
  • Learning & Development: Apply AI in learning design; create AI-assisted learning content; design personalised learning journeys
  • Understand Learning Experience Platform (LXP) and Learning Management System (LMS) ecosystems; and use learning analytics
  • HR Technology: Understand HRIS/HRMS platforms; plan HR technology implementation; identify automation opportunities; design HR workflows
  • Understand platforms such as Zoho People, Workday, and SAP SuccessFactors; and develop digital HR transformation roadmaps.
  • Leadership: Lead human-AI teams; manage digital transformation; coach managers through AI-driven change; apply agile HR principles
  • Compensation & Rewards: Develop compensation strategies; build salary structures; understand total rewards; conduct pay-equity analysis
This course includes:
4.5 total hours on-demand video
11 articles
12 downloadable resources
71 lessons
Full lifetime access
Access on mobile and TV
Certificate of completion
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Course content

Requirements

  • Essential: Basic understanding of HR concepts; familiarity with recruitment, performance management, employee engagement, and/or Learning & Development (L&D); basic knowledge of Excel or Google Sheets; professional communication skills; ability to work with simple business and HR datasets; and access to an AI tool such as ChatGPT, Claude, Gemini, or Microsoft Copilot.
  • Helpful but Not Mandatory: 0–5 years of HR experience; an MBA/PGDM in Human Resources; experience with HRMS or LMS platforms; and a basic understanding of business metrics.

Description

“This course contains the use of artificial intelligence.””

Course Description

AI-Powered HR Professional is an applied online programme designed to prepare HR professionals for the evolving world of AI, analytics, digital HR, strategic workforce management and human-centred leadership.

The programme brings together the major themes from the attached course catalogue into one progressive learning journey:

AI → Data → Talent → Employee Experience → Skills → L&D → HR Technology → Leadership → Compensation → Strategy

Learners move beyond theoretical HR knowledge and develop the ability to:

  • Use AI in everyday HR work

  • Analyse HR and workforce data

  • Make evidence-based people decisions

  • Design employee and candidate experiences

  • Build skills and workforce strategies

  • Apply HR technology and automation

  • Lead digital and AI transformation

  • Design compensation and total rewards strategies

  • Advise business leaders strategically

The programme culminates in a Strategic AI-HR Transformation Capstone, where learners solve a complete organisational HR problem.

The catalogue specifically covers AI recruitment, GenAI, prompt engineering, HR chatbots and responsible AI; HR analytics, attrition, workforce planning and people insights; digital HR leadership and HRBP 2.0; employee experience and wellbeing; skills and career architecture; talent acquisition; L&D technology; HR technology; AI-era leadership; and compensation/rewards.

Detailed Course Structure

TRACK 1 — AI & Generative AI for HR

Module 1. AI for Recruitment & Talent Acquisition

  • AI in the hiring funnel

  • AI sourcing

  • Resume screening

  • Candidate matching

  • AI-assisted interviewing

  • Decision support

  • Human accountability

Module 2. Generative AI for HR Professionals

  • Generative AI fundamentals

  • LLM concepts

  • HR use cases

  • AI-assisted HR documentation

  • Policy drafting

  • Employee communication

  • HR process design

Module 3. Prompt Engineering for HR

  • Prompt fundamentals

  • Context

  • Constraints

  • Role prompting

  • Output formats

  • Prompt patterns

  • Prompt refinement

Module 4. AI Employee Support & HR Chatbots

  • HR chatbot use cases

  • Employee query handling

  • HR helpdesk

  • Knowledge-base integration

  • Escalation design

  • Chatbot performance

Module 5. Responsible AI in HR

  • AI ethics

  • Bias

  • Fairness

  • Transparency

  • Governance

  • Data privacy

  • Human-in-the-loop

Track Project:

HR AI Toolkit

Build a reusable HR Prompt & Workflow Library.

The source catalogue explicitly positions these five areas as the first AI/GenAI capability cluster.

TRACK 2 — HR Analytics & People Intelligence

Module 1. HR Analytics with Power BI

  • Power BI fundamentals

  • HR data preparation

  • Headcount dashboard

  • Attrition dashboard

  • Recruitment dashboard

  • HR storytelling

Module 2. Predictive Attrition Analytics

  • Attrition drivers

  • Risk indicators

  • Predictive models

  • Flight-risk analysis

  • Retention interventions

Module 3. Workforce Planning & Talent Forecasting

  • Demand forecasting

  • Supply forecasting

  • Scenario planning

  • Skills gaps

  • Headcount modelling

Module 4. Data-Driven HR Decision Making

  • HR metrics

  • Evidence-based HR

  • Data interpretation

  • Decision frameworks

  • Business cases

Module 5. AI-Powered People Insights

  • AI-assisted analysis

  • Sentiment analysis

  • Engagement analytics

  • Employee insights

  • People strategy

Track Project:

People Intelligence Dashboard & Insight Report

TRACK 3 — Strategic HR & Workforce Planning

Module 1. Strategic Digital HR Leadership

  • Digital HR mindset

  • HR transformation

  • HR technology strategy

  • Digital HR governance

Module 2. HR Business Partner 2.0

  • Modern HRBP role

  • Data and digital skills

  • Consulting mindset

  • Strategic influence

Module 3. Future of Work & Workforce Transformation

  • Automation

  • Hybrid work

  • Demographic changes

  • Reskilling

  • Workforce redesign

Module 4. HR Strategy in the AI Era

  • AI and HR strategy

  • AI-enabled talent strategy

  • Skills strategy

  • AI-ready HR roadmap

Module 5. CHRO Leadership

  • CHRO mandate

  • Business acumen

  • Financial understanding

  • Boardroom leadership

  • Enterprise talent agenda

Track Project:

AI-Ready HR Strategy & Workforce Plan

TRACK 4 — Employee Experience, Culture & Wellbeing

Module 1. Employee Experience Design

  • Employee journey mapping

  • Moments that matter

  • Design thinking

  • HR service redesign

  • Prototyping

Module 2. Culture Transformation & Engagement

  • Culture diagnosis

  • Desired culture

  • Behavioural interventions

  • Engagement strategy

Module 3. Psychological Safety

  • Psychological safety

  • Leadership behaviours

  • Team norms

  • Feedback

  • Measurement

Module 4. Employee Wellbeing & Burnout Prevention

  • Burnout drivers

  • Early warning indicators

  • Wellbeing programmes

  • Manager responsibility

Module 5. Building High-Trust Organisations

  • Trust foundations

  • Trust-building behaviours

  • Communication

  • Trust repair

Track Project:

Employee Experience & Engagement Transformation Plan

TRACK 5 — Skills, Careers & Organisation Design

Module 1. Skills-Based Hiring & Workforce Planning

  • Skills-based organisation

  • Skills-first hiring

  • Skills assessment

  • Skills-based workforce planning

Module 2. Internal Talent Marketplace

  • Internal mobility

  • Skills matching

  • Talent marketplace

  • Governance

  • Adoption

Module 3. Competency Framework Development

  • Core competencies

  • Functional competencies

  • Leadership competencies

  • Role-level mapping

Module 4. Future Skills Mapping

  • Emerging skills

  • Skills forecasting

  • Gap analysis

  • Future skills roadmap

Module 5. Career Architecture & Mobility

  • Job families

  • Career levels

  • Career paths

  • Lateral mobility

  • Internal movement

Track Project:

Skills-Gap Analysis & Reskilling Roadmap

TRACK 6 — Talent Acquisition & Employer Branding

Module 1. AI-Powered Talent Sourcing

  • AI sourcing

  • Passive talent

  • Talent search

  • Candidate engagement

Module 2. Recruitment Marketing

  • Recruitment campaigns

  • Content

  • Channels

  • Recruitment marketing ROI

Module 3. Employer Branding Strategy

  • EVP

  • Employer brand narrative

  • Careers content

  • Employer brand measurement

Module 4. Candidate Experience

  • Candidate journey

  • Communication

  • Candidate feedback

  • Experience measurement

Module 5. Executive Search & Talent Intelligence

  • Executive search

  • Market mapping

  • Talent intelligence

  • Senior candidate engagement

Track Project:

AI Recruitment & Employer Brand Campaign

TRACK 7 — Learning & Development Technology

Module 1. AI-Powered Learning Design

  • AI in instructional design

  • AI content generation

  • AI scenarios

  • AI assessments

  • Human quality control

Module 2. Learning Experience Platforms

  • LMS vs LXP

  • LXP implementation

  • Content curation

  • Personalisation

Module 3. Learning Analytics

  • Learning metrics

  • Engagement

  • Completion

  • Kirkpatrick evaluation

  • Learning impact

Module 4. Personalised Learning Journeys

  • Adaptive learning

  • Role-based learning

  • Skill-based learning

  • Career-based learning

Module 5. Future-Ready Learning Ecosystems

  • Formal learning

  • Informal learning

  • Social learning

  • Learning technology

  • Future-proof L&D

Track Project:

AI-Powered Learning Journey & L&D Dashboard

TRACK 8 — HR Technology & Digital Transformation

Module 1. HR Tech Implementation & Automation

  • HR technology planning

  • Vendor selection

  • Implementation

  • Change management

  • Automation opportunities

Module 2. Digital HR Transformation

  • Digital HR vision

  • Transformation roadmap

  • Technology

  • Process transformation

  • Risk management

Module 3. HRIS & HRMS Mastery

  • HRIS architecture

  • Employee data

  • Workflows

  • Approvals

  • Reporting

  • Data integrity

Module 4. Zoho People / Workday / SAP SuccessFactors

  • Platform comparison

  • Core HR

  • Employee self-service

  • Workflow

  • Reporting

Module 5. HR Process Automation

  • Automation identification

  • Workflow design

  • No-code/low-code

  • Monitoring

  • Optimisation

Track Project:

Digital HR Transformation & Automation Blueprint

TRACK 9 — Leadership for the Digital & AI Era

Module 1. Leading Human + AI Teams

  • Human-AI collaboration

  • Role redesign

  • AI accountability

  • Trust

Module 2. Change Leadership

  • Change models

  • Digital disruption

  • Change communication

  • Sustaining change

Module 3. Coaching Managers for the AI Era

  • Coaching fundamentals

  • GROW

  • AI-driven change

  • Manager capability

Module 4. Agile HR & Organisation Development

  • Agile principles

  • Iterative HR

  • Feedback loops

  • Agile OD

Module 5. Managing Continuous Change

  • Change fatigue

  • Resilience

  • Sustaining performance

  • Employee engagement

Track Project:

Human + AI Workforce Change Plan

TRACK 10 — Compensation, Rewards & Cost Strategy

Module 1. Strategic Compensation Management

  • Pay philosophy

  • Compensation structures

  • Salary bands

  • Market positioning

Module 2. Total Rewards Design

  • Monetary rewards

  • Benefits

  • Non-monetary rewards

  • Total rewards communication

Module 3. Pay Equity Analytics

  • Pay equity

  • Compensation analysis

  • Pay gaps

  • Remediation

  • Monitoring

Module 4. Workforce Cost Optimisation

  • Workforce cost drivers

  • Cost optimisation

  • Capability protection

  • Talent risks

Module 5. Compensation Benchmarking

  • Market data

  • Benchmark selection

  • Benchmarking process

  • Pay decisions

Track Project:

Compensation & Pay Equity Strategy

The source document groups these five subjects under Compensation, Rewards & Cost Strategy.

Assignment 1 — HR AI Toolkit

Task

Create a practical HR AI toolkit containing:

  • 10 HR prompts

  • 3 AI workflows

  • HR AI use-case matrix

  • AI validation checklist

  • Responsible AI checklist

  • Human-in-the-loop framework

Final Output

HR AI Prompt & Workflow Library

Assignment 2 — People Intelligence Project

Learners receive an HR dataset and analyse:

  • Headcount

  • Attrition

  • Recruitment

  • Engagement

  • Performance

  • Workforce trends

Final Output

HR Dashboard + People Insight Report

The learner must present:

Data → Pattern → Insight → Business Impact → Recommendation

Assignment 3 — AI-Ready Workforce Strategy

Create a workforce strategy for an organisation undergoing technology/AI transformation.

Include:

  • Current workforce

  • Future workforce

  • Skills requirements

  • Workforce gaps

  • Hiring requirements

  • Reskilling requirements

  • Workforce scenarios

  • HR technology requirements

Final Output

AI-Ready Workforce Plan + 3-Year HR Roadmap

Assignment 4 — Employee Experience Transformation

Analyse an employee lifecycle:

Recruitment → Onboarding → Performance → Development → Career → Exit

Identify pain points and redesign key employee experiences.

Final Output

Employee Experience Transformation Plan

Include:

  • Journey map

  • Pain-point analysis

  • Employee insights

  • Design solutions

  • 90-day action plan

  • Measurement framework

Assignment 5 — Skills-Gap & Reskilling Project

Learners analyse current and future skills.

Final Output

Skills-Gap Matrix + Reskilling Roadmap

Include:

  • Current skills

  • Future skills

  • Skill gaps

  • Priority skills

  • Employee/group segmentation

  • Learning recommendations

  • 90/180-day reskilling plan

Assignment 6 — AI Recruitment Project

Analyse a real or simulated recruitment requirement.

Final Output

AI Recruitment Decision Pack

Including:

  • JD analysis

  • Candidate comparison

  • AI screening

  • Candidate shortlist

  • Interview questions

  • Bias/quality check

  • Employer branding idea

  • Candidate experience improvements

Assignment 7 — AI Learning Project

Design a personalised learning programme for a defined employee population.

Final Output

AI-Powered Learning Journey

Include:

  • Learner persona

  • Skills gaps

  • Learning objectives

  • Learning pathway

  • AI-generated learning content

  • Assessments

  • Learning analytics

  • Impact measurement

Assignment 8 — Digital HR Transformation

Choose an HR process such as:

  • Recruitment

  • Onboarding

  • Leave

  • Performance

  • Employee helpdesk

  • L&D

  • Payroll support

Identify automation opportunities.

Final Output

Digital HR Transformation Blueprint

Structure:

Current Process → Problem → Technology → Automation → Human Review → Implementation → KPI

Assignment 9 — Human + AI Leadership

Develop a transformation plan for an organisation introducing AI.

Final Output

Human + AI Workforce Change Plan

Include:

  • Stakeholder analysis

  • Change impact

  • Employee concerns

  • Communication plan

  • Manager enablement

  • AI adoption plan

  • Reskilling

  • Change metrics

Assignment 10 — Compensation & Pay Equity

Analyse a simulated compensation dataset.

Final Output

Strategic Compensation & Pay Equity Report

Include:

  • Compensation structure

  • Benchmarking

  • Compa-ratio

  • Pay equity analysis

  • Potential pay gaps

  • Cost implications

  • Remediation options

  • Total rewards recommendations

“Master HR. Amplify with AI. Analyse with Data. Lead the Future of Work.”

AI Role-Play

Session 1 — AI-Powered Recruitment: Challenge the Shortlist

Session 2 — The Attrition Alert: Turn HR Data into Action

Session 3 — The AI Adoption Challenge: Lead HR Transformation

AI Content Disclaimer

Certain portions of this course content have been developed with the assistance of Artificial Intelligence (AI) tools and have been reviewed and curated to support the course learning objectives. The content is intended for educational purposes and may be supplemented with additional examples, references and practical insights.

However the delivery and teaching is fully real human teacher driven.

Who this course is for:

  • HR Professionals: HR Executives, HR Generalists, HR Managers, HR Business Partners, Employee Relations Professionals, Talent Acquisition Professionals, Learning & Development (L&D) Professionals, Compensation & Benefits Professionals, and People Analytics Professionals.
  • HR Leaders: HR Heads, Senior HR Managers, HR Transformation Leaders, and professionals aspiring to Chief Human Resources Officer (CHRO) roles.
  • Business & People Managers: Team Managers, Project Managers, Business Leaders, and People Managers responsible for team performance, employee development, and workforce management.
  • Students & Early-Career Professionals: MBA/PGDM HR students, HR graduates, HR aspirants, freshers entering the HR profession, and professionals transitioning into Human Resources.
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