“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:
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Use AI in everyday HR work
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Analyse HR and workforce data
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Make evidence-based people decisions
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Design employee and candidate experiences
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Build skills and workforce strategies
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Apply HR technology and automation
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Lead digital and AI transformation
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Design compensation and total rewards strategies
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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
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AI in the hiring funnel
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AI sourcing
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Resume screening
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Candidate matching
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AI-assisted interviewing
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Decision support
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Human accountability
Module 2. Generative AI for HR Professionals
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Generative AI fundamentals
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LLM concepts
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HR use cases
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AI-assisted HR documentation
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Policy drafting
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Employee communication
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HR process design
Module 3. Prompt Engineering for HR
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Prompt fundamentals
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Context
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Constraints
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Role prompting
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Output formats
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Prompt patterns
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Prompt refinement
Module 4. AI Employee Support & HR Chatbots
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HR chatbot use cases
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Employee query handling
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HR helpdesk
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Knowledge-base integration
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Escalation design
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Chatbot performance
Module 5. Responsible AI in HR
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AI ethics
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Bias
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Fairness
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Transparency
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Governance
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Data privacy
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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
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Power BI fundamentals
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HR data preparation
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Headcount dashboard
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Attrition dashboard
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Recruitment dashboard
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HR storytelling
Module 2. Predictive Attrition Analytics
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Attrition drivers
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Risk indicators
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Predictive models
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Flight-risk analysis
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Retention interventions
Module 3. Workforce Planning & Talent Forecasting
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Demand forecasting
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Supply forecasting
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Scenario planning
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Skills gaps
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Headcount modelling
Module 4. Data-Driven HR Decision Making
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HR metrics
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Evidence-based HR
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Data interpretation
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Decision frameworks
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Business cases
Module 5. AI-Powered People Insights
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AI-assisted analysis
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Sentiment analysis
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Engagement analytics
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Employee insights
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People strategy
Track Project:
People Intelligence Dashboard & Insight Report
TRACK 3 — Strategic HR & Workforce Planning
Module 1. Strategic Digital HR Leadership
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Digital HR mindset
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HR transformation
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HR technology strategy
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Digital HR governance
Module 2. HR Business Partner 2.0
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Modern HRBP role
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Data and digital skills
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Consulting mindset
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Strategic influence
Module 3. Future of Work & Workforce Transformation
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Automation
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Hybrid work
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Demographic changes
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Reskilling
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Workforce redesign
Module 4. HR Strategy in the AI Era
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AI and HR strategy
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AI-enabled talent strategy
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Skills strategy
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AI-ready HR roadmap
Module 5. CHRO Leadership
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CHRO mandate
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Business acumen
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Financial understanding
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Boardroom leadership
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Enterprise talent agenda
Track Project:
AI-Ready HR Strategy & Workforce Plan
TRACK 4 — Employee Experience, Culture & Wellbeing
Module 1. Employee Experience Design
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Employee journey mapping
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Moments that matter
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Design thinking
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HR service redesign
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Prototyping
Module 2. Culture Transformation & Engagement
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Culture diagnosis
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Desired culture
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Behavioural interventions
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Engagement strategy
Module 3. Psychological Safety
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Psychological safety
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Leadership behaviours
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Team norms
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Feedback
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Measurement
Module 4. Employee Wellbeing & Burnout Prevention
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Burnout drivers
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Early warning indicators
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Wellbeing programmes
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Manager responsibility
Module 5. Building High-Trust Organisations
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Trust foundations
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Trust-building behaviours
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Communication
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Trust repair
Track Project:
Employee Experience & Engagement Transformation Plan
TRACK 5 — Skills, Careers & Organisation Design
Module 1. Skills-Based Hiring & Workforce Planning
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Skills-based organisation
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Skills-first hiring
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Skills assessment
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Skills-based workforce planning
Module 2. Internal Talent Marketplace
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Internal mobility
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Skills matching
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Talent marketplace
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Governance
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Adoption
Module 3. Competency Framework Development
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Core competencies
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Functional competencies
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Leadership competencies
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Role-level mapping
Module 4. Future Skills Mapping
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Emerging skills
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Skills forecasting
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Gap analysis
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Future skills roadmap
Module 5. Career Architecture & Mobility
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Job families
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Career levels
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Career paths
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Lateral mobility
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Internal movement
Track Project:
Skills-Gap Analysis & Reskilling Roadmap
TRACK 6 — Talent Acquisition & Employer Branding
Module 1. AI-Powered Talent Sourcing
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AI sourcing
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Passive talent
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Talent search
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Candidate engagement
Module 2. Recruitment Marketing
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Recruitment campaigns
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Content
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Channels
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Recruitment marketing ROI
Module 3. Employer Branding Strategy
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EVP
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Employer brand narrative
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Careers content
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Employer brand measurement
Module 4. Candidate Experience
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Candidate journey
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Communication
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Candidate feedback
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Experience measurement
Module 5. Executive Search & Talent Intelligence
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Executive search
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Market mapping
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Talent intelligence
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Senior candidate engagement
Track Project:
AI Recruitment & Employer Brand Campaign
TRACK 7 — Learning & Development Technology
Module 1. AI-Powered Learning Design
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AI in instructional design
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AI content generation
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AI scenarios
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AI assessments
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Human quality control
Module 2. Learning Experience Platforms
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LMS vs LXP
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LXP implementation
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Content curation
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Personalisation
Module 3. Learning Analytics
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Learning metrics
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Engagement
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Completion
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Kirkpatrick evaluation
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Learning impact
Module 4. Personalised Learning Journeys
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Adaptive learning
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Role-based learning
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Skill-based learning
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Career-based learning
Module 5. Future-Ready Learning Ecosystems
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Formal learning
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Informal learning
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Social learning
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Learning technology
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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
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HR technology planning
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Vendor selection
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Implementation
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Change management
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Automation opportunities
Module 2. Digital HR Transformation
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Digital HR vision
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Transformation roadmap
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Technology
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Process transformation
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Risk management
Module 3. HRIS & HRMS Mastery
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HRIS architecture
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Employee data
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Workflows
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Approvals
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Reporting
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Data integrity
Module 4. Zoho People / Workday / SAP SuccessFactors
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Platform comparison
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Core HR
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Employee self-service
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Workflow
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Reporting
Module 5. HR Process Automation
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Automation identification
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Workflow design
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No-code/low-code
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Monitoring
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Optimisation
Track Project:
Digital HR Transformation & Automation Blueprint
TRACK 9 — Leadership for the Digital & AI Era
Module 1. Leading Human + AI Teams
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Human-AI collaboration
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Role redesign
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AI accountability
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Trust
Module 2. Change Leadership
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Change models
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Digital disruption
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Change communication
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Sustaining change
Module 3. Coaching Managers for the AI Era
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Coaching fundamentals
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GROW
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AI-driven change
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Manager capability
Module 4. Agile HR & Organisation Development
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Agile principles
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Iterative HR
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Feedback loops
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Agile OD
Module 5. Managing Continuous Change
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Change fatigue
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Resilience
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Sustaining performance
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Employee engagement
Track Project:
Human + AI Workforce Change Plan
TRACK 10 — Compensation, Rewards & Cost Strategy
Module 1. Strategic Compensation Management
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Pay philosophy
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Compensation structures
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Salary bands
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Market positioning
Module 2. Total Rewards Design
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Monetary rewards
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Benefits
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Non-monetary rewards
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Total rewards communication
Module 3. Pay Equity Analytics
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Pay equity
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Compensation analysis
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Pay gaps
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Remediation
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Monitoring
Module 4. Workforce Cost Optimisation
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Workforce cost drivers
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Cost optimisation
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Capability protection
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Talent risks
Module 5. Compensation Benchmarking
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Market data
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Benchmark selection
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Benchmarking process
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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:
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10 HR prompts
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3 AI workflows
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HR AI use-case matrix
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AI validation checklist
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Responsible AI checklist
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Human-in-the-loop framework
Final Output
HR AI Prompt & Workflow Library
Assignment 2 — People Intelligence Project
Learners receive an HR dataset and analyse:
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Headcount
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Attrition
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Recruitment
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Engagement
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Performance
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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:
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Current workforce
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Future workforce
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Skills requirements
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Workforce gaps
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Hiring requirements
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Reskilling requirements
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Workforce scenarios
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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:
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Journey map
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Pain-point analysis
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Employee insights
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Design solutions
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90-day action plan
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Measurement framework
Assignment 5 — Skills-Gap & Reskilling Project
Learners analyse current and future skills.
Final Output
Skills-Gap Matrix + Reskilling Roadmap
Include:
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Current skills
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Future skills
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Skill gaps
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Priority skills
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Employee/group segmentation
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Learning recommendations
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90/180-day reskilling plan
Assignment 6 — AI Recruitment Project
Analyse a real or simulated recruitment requirement.
Final Output
AI Recruitment Decision Pack
Including:
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JD analysis
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Candidate comparison
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AI screening
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Candidate shortlist
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Interview questions
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Bias/quality check
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Employer branding idea
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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:
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Learner persona
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Skills gaps
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Learning objectives
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Learning pathway
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AI-generated learning content
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Assessments
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Learning analytics
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Impact measurement
Assignment 8 — Digital HR Transformation
Choose an HR process such as:
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Recruitment
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Onboarding
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Leave
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Performance
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Employee helpdesk
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L&D
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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:
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Stakeholder analysis
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Change impact
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Employee concerns
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Communication plan
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Manager enablement
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AI adoption plan
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Reskilling
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Change metrics
Assignment 10 — Compensation & Pay Equity
Analyse a simulated compensation dataset.
Final Output
Strategic Compensation & Pay Equity Report
Include:
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Compensation structure
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Benchmarking
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Compa-ratio
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Pay equity analysis
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Potential pay gaps
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Cost implications
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Remediation options
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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.








