Course Includes:
- Price: FREE
- Enrolled: 0 students
- Language: English
- Certificate: Yes
- Difficulty: Beginner
“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.