AI in HR Analytics

Course Overview

AI in HR Analytics explores how artificial intelligence, machine learning, and automation are transforming HR decision‑making across the employee lifecycle. The course covers AI‑driven sourcing, screening, performance prediction, attrition modelling, skills intelligence, workforce planning, and employee experience analytics. Learners examine how HR data can be used to build predictive models, automate repetitive tasks, and support evidence‑based HR strategies. The course also addresses fairness, transparency, bias mitigation, and ethical considerations when applying AI in people‑related decisions.

Target Audience

• HR professionals, talent acquisition teams, and people analytics practitioners

• Data analysts and HRIS specialists working with workforce data

• HR managers and business partners seeking AI‑enabled insights

• Learning & development, performance, and workforce planning teams

• Early‑career professionals entering HR analytics or digital HR roles

Course Outcomes

• Understand the role of AI and machine learning in modern HR analytics

• Apply AI techniques to recruitment, performance, engagement, and retention data

• Build and interpret predictive models for hiring success, attrition, and workforce trends

• Use natural language processing (NLP) for resume analysis, sentiment analysis, and employee feedback

• Evaluate AI‑driven tools for sourcing, screening, and talent matching

• Identify risks related to algorithmic bias, fairness, and ethical AI in HR

• Translate AI‑generated insights into strategic HR recommendations

• Strengthen HR decision‑making through automation, prediction, and data‑driven insights