AI for HR - Transforming Human Resources with Artificial Intelligence & Generative AI
Explore how AI and Generative AI are revolutionising HR by automating tasks, enhancing decision-making, and improving employee experiences and productivity.
Duration: 1 Day
Hours: 3 Hours
Training: Live Training
Training Level: All Level
Wednesday, April 01, 2026
11:00 AM - 02:00 PM (Eastern Time)
Friday, May 15, 2026
11:00 AM - 02:00 PM (Eastern Time)
About the Course:
This course provides a practical introduction to Artificial Intelligence (AI) and Generative AI in Human Resources. It prepares HR professionals to use AI for hiring, employee engagement, workforce planning, learning and development, and decision-making.
Participants will examine predictive AI, including attrition modelling and performance prediction, as well as Generative AI, such as resume summarisation, job description drafting, and HR chatbots. The course focuses on real-world HR applications, practical approaches, and responsible AI adoption without unnecessary technical detail.
The course aims to help HR teams transition from manual, reactive processes to intelligent, proactive, and AI-enhanced operations.
Course Objectives:
By the end of this course, participants will be able to:
- Apply AI and Generative AI to HR functions.
- Identify high-impact AI use cases throughout the employee lifecycle.
- Leverage predictive analytics in HR, including attrition, performance, and risk scoring.
- Utilise Generative AI for recruitment, learning and development, engagement, and policy drafting.
- Design AI-powered workflows for HR processes.
Target Audience?
This course is ideal for:
- HR Managers & HR Business Partners
- Talent Acquisition Teams
- Learning & Development Professionals
- HR Operations Teams
- People Analytics Teams
- CHROs & HR Leaders
- HR Technology & Digital Transformation Teams
- No deep technical or coding background is required. Basic HR knowledge is recommended.
Basic Knowledge:
Participants should have:
- A basic understanding of HR processes, including recruitment, onboarding, and performance management.
- Familiarity with HR data, such as Excel reports, HR dashboards, and surveys.
- No prior experience with AI or programming is required.
Curriculum
Total Duration: 3 Hours
Introduction to AI in Human Resources
- What is Artificial Intelligence?
- Machine Learning vs Deep Learning vs Generative AI
- Why HR is ready for AI transformation
- Traditional HR vs AI-Augmented HR
- The shift from reactive HR to predictive HR
Understanding HR Data & AI Readiness
- Types of HR data (Structured & Unstructured)
- Common HR data sources (HRMS, ATS, Surveys, LMS)
- Data quality challenges in HR
- Bias in HR datasets
- AI maturity assessment for HR teams
Predictive AI in HR – Data-Driven Decision Making
- What are predictive analytics in HR?
- Employee Attrition Prediction
- Performance Prediction & Risk Scoring
- Workforce Planning & Demand Forecasting
- Employee Engagement & Sentiment Analysis
- How HR leaders interpret AI outputs
- Business Example:
- Predict which employees are likely to resign in the next 6 months
- Identify high-potential employees using data
AI-Powered Recruitment & Talent Acquisition
- AI-based resume screening
- Candidate shortlisting models
- Interview scoring assistance
- Reducing hiring bias using AI
- Ethical considerations in AI-based hiring
- Business Example:
- Build a structured resume screening workflow
- Automated candidate ranking system
Generative AI in HR – The Transformation Layer
- What is Generative AI?
- How Large Language Models work (simple explanation)
- Where Generative AI fits in HR
Generative AI in Talent Acquisition
- Job Description generation
- Resume summarization
- Interview question generation
- Candidate communication email drafting
- Employer branding content creation
- Business Example:
- Generate role-specific interview questions in seconds
- Create job descriptions aligned with competency frameworks
Generative AI in Learning & Development (L&D)
- Personalized learning path generation
- Skill gap analysis reports
- Micro-learning content creation
- Training material summarization
- Career progression roadmap drafting
- Business Example:
- Auto-generate training roadmap for high-potential employees
Generative AI in Employee Experience & HR Operations
- HR Policy Q&A Chatbots
- Employee self-service assistants
- Performance review draft generation
- Exit interview analysis
- Engagement survey summarization
- Business Example:
- Build an internal HR chatbot for leave policy & benefits
AI for Strategic HR & Leadership Reporting
- AI-generated HR dashboards summaries
- Workforce planning reports
- Diversity & Inclusion insights
- Compensation benchmarking summaries
- Executive-ready HR reporting narratives
- Business Example:
- Convert HR data into board-level presentation summaries
Responsible AI, Ethics & Compliance in HR
- AI bias in recruitment
- Fairness & transparency
- Legal compliance considerations
- Data privacy concerns
- Human-in-the-loop governance model
Designing an AI-Enabled HR Architecture
- HR Data layer
- Predictive ML layer
- Generative AI layer
- RAG-based HR knowledge assistant
- Integration with HRMS systems
- (Simple architectural explanation for business audience)
Implementation Roadmap & Change Management
- Identifying high-impact use cases
- Prioritizing AI initiatives
- Building cross-functional AI team
- Pilot testing approach
- Measuring ROI of AI in HR
- Scaling AI adoption
Capstone / Practical Exercise
- Participants will:
- Identify 3 AI use cases in their HR function
- Map expected business impact
- Identify data requirements
- Outline an AI adoption roadmap