Welcome to AI for HR and People Teams

HR is the function where AI hits the most resistance, and where the biggest productivity gains are hiding. The resistance is justified: hiring decisions affect lives, AI bias in screening has caused real harm, and "computer says no" is a terrible answer to a candidate who asks why they were rejected. But the productivity gains are also real. The average recruiter spends 20+ hours per hire on resume triage. AI does the same triage in minutes, leaves the human time for the work that matters (interviews, judgment calls, hard conversations), and can be more consistent than overworked recruiters. The question is not whether HR should use AI. It's how. What can AI do well? What should never be fully automated? Where does anti-discrimination law come in? This course is for HR professionals, people leads, and recruiting teams. We cover practical applications and ethical limits. We'll cover: • AI in HR: what it is and what it isn't (IBM) • HR AI for beginners (no jargon, real examples) • The 2026 state of AI in HR • Getting started: small wins first • 26 real-world use cases across the HR function • Recruiting: the highest-impact application • End-to-end hiring workflow with AI • Beyond hiring: onboarding, learning, internal mobility • Predictive HR analytics: turnover, performance, workforce planning • Ethics: bias, discrimination law, candidate transparency This course is for HR practitioners. No technical background needed. Time: ~3 hours across 10 articles.