1
Foundations of AI in HR & Talent Management
Gain an understanding of the fundamentals of AI, ML, and DL, and how they are used in recruitment and workforce management.
Learning Outcomes
2
Learning AI Use-Cases Across HR & Talent Management
Analyze case studies of successful and unsuccessful AI implementations in HR.
3
Evaluating AI Solutions
Evaluate AI tools for HR, considering technical feasibility, ROI, and compliance with labor laws.
4
Practical AI Implementation
Integrate AI into existing HR systems to enhance efficiency and decision-making.
5
Ethics, Law & Privacy
Design ethical AI workflows in HR that reduce bias and protect employee data.
6
Insights from Real-World Cases
Identify AI-driven opportunities to improve recruitment, employee engagement, learning & development, and workforce planning.
Program structure
Lesson Plan
5 modules • 51hours total length
Module 1: AI Foundations for HR Professionals
Module 1: AI Foundations for HR Professionals
What you'll learn
- Define AI, ML, and NLP in the HR context
- Trace the evolution of HR technology and current landscape
- Explain machine learning basics and data pipelines in HR systems
- Apply generative AI for HR content and communication
- Differentiate HR and data science roles in AI projects
- Assess AI maturity models and debunk myths in HR AI adoption
Skills you'll gain
AI FundamentalsHR Tech LandscapeData PipelinesModel EvaluationGenerative AIAI Maturity ModelsHR Data Collaboration
Module 2: AI in Talent Acquisition
Module 2: AI in Talent Acquisition
What you'll learn
- Apply AI for intelligent sourcing, candidate matching, and social mining
- Automate video interviews, assessments, and shortlisting processes
- Detect and mitigate bias in recruitment workflows
- Personalize candidate communication and predict offer acceptance
- Implement recruitment marketing automation and internal talent mobility
- Measure recruitment ROI and optimize hiring pipelines
Skills you'll gain
AI SourcingCandidate ScreeningBias MitigationRecruitment MarketingOffer PredictionInternal MobilityRecruitment Analytics
Module 3: AI in Employee Experience & Engagement
Module 3: AI in Employee Experience & Engagement
What you'll learn
- Automate onboarding and compliance with personalized workflows
- Analyze employee feedback using sentiment and continuous listening tools
- Apply AI for personalized learning, coaching, and micro-learning content
- Predict career pathways and design internal gig platforms
- Identify retention risks and link engagement data to performance
Skills you'll gain
Onboarding AutomationSentiment AnalysisPersonalized LearningCareer PathingRetention PredictionEmployee EngagementMicrolearning AI
Module 4: AI in Workforce Planning & HR Analytics
Module 4: AI in Workforce Planning & HR Analytics
What you'll learn
- Apply AI for workforce demand forecasting and scenario planning
- Design continuous performance tracking and OKR alignment systems
- Measure DEI impact with analytics and conduct bias audits
- Ensure compliance with GDPR, DPDP, and labor laws in AI projects
- Apply explainable AI and evaluate vendors for HR solutions
- Conduct cost-benefit analysis for AI-driven HR initiatives
Skills you'll gain
Workforce ForecastingPerformance AnalyticsDEI MeasurementBias AuditsExplainable AICompliance in HRVendor Evaluation
Module 5: Case Studies & Future Trends
Module 5: Case Studies & Future Trends
What you'll learn
- Analyze success stories and lessons from failed HR AI projects
- Explore AI for hybrid work, wellness, and augmented HR decision-making
- Apply AI for contingent workforce and cross-border talent management
- Evaluate the evolving role of HR in AI-first organizations
- Build ethical leadership practices for AI-driven HR disruption
Skills you'll gain
Case Study AnalysisHybrid Work AIWellness AIContingent WorkforceGlobal Talent AIEthical HR LeadershipFuture Trend Mapping
