“This course helped me clearly understand where AI actually fits into recruitment. We were already using tools, but not strategically. I now know how to evaluate AI sourcing, reduce bias, and use predictive insights responsibly.”
Empower HR leaders with practical, ethical AI strategies to enhance recruitment, workforce planning, performance management, and data-driven people decisions. Applied AI in HR & Talent Management
In Applied AI in HR and Talent Management, you will move beyond theory and learn how to practically apply artificial intelligence across recruitment, workforce planning, performance management, and people analytics—driving measurable HR outcomes. Apply AI to HR
With Real-World Impact
This curriculum is designed to help HR leaders and professionals apply AI across the entire talent lifecycle—from hiring to performance, development, and workforce planning—using ethical, data-driven approaches. Understand the fundamentals of artificial intelligence and its relevance in modern HR. Learn how data, ethics, and governance form the foundation for responsible AI adoption in people systems. Explore how AI transforms recruitment by improving sourcing, screening, and candidate experience. Learn to use predictive insights to make better hiring decisions. Learn how AI supports continuous performance management, personalised learning journeys, and proactive employee engagement strategies. Apply AI strategically to workforce planning and long-term talent decisions. Learn how to manage change, measure ROI, and ensure sustained value from AI initiatives. There are 4 modules in this course
What HR leaders say about this course
It’s practical and HR-focused. You’ll learn how AI is actually used across recruitment, performance, learning & development, retention, and workforce planning—along with how to evaluate tools and make implementation decisions. The course is designed to help you apply AI responsibly in real HR workflows, not just learn definitions and buzzwords. No. This course is built for HR and talent professionals. You won’t be asked to code. You’ll learn how to understand AI outputs, ask the right questions, work with vendors or internal teams, and use AI tools confidently and ethically. This is a major focus of the course. You’ll learn key ethical principles, bias risks in HR data, and practical steps to reduce unfair outcomes (for example: governance, auditing, human-in-the-loop reviews, and responsible use policies). The goal is to help you adopt AI without compromising fairness, compliance, or trust. Yes. You’ll learn what to look for in AI-enabled HR solutions, how to evaluate claims, what data is required, and which governance checks matter before rolling out tools. You’ll also understand common pitfalls like “black-box” scoring, poor data quality, and over-automation. That’s a common situation. The course covers data infrastructure and governance basics so you can understand what’s needed before AI can work reliably. You’ll learn how to think about data readiness, integration, privacy, and controls—so you can plan realistic adoption steps. Yes. You’ll explore AI-powered performance evaluation, personalised learning and development, and forecasting retention/engagement risks. You’ll also learn how to apply AI insights without turning HR into “surveillance” and how to keep decisions transparent and human-centered. The final module covers measuring ROI and sustained performance gains, including what to measure, how to build a business case, and how to track adoption over time. This helps you move from “AI sounds good” to measurable outcomes HR leaders can defend. It’s relevant for both. The concepts apply whether you’re implementing AI within a large HR tech stack or starting with smaller tools like screening assistants, chatbots, or analytics dashboards. You’ll learn how to scale responsibly based on your organisation’s maturity. Yes. After completing the course, you’ll receive a certificate of completion. You can add it to LinkedIn, your resume/CV, and internal learning records. Yes, it’s self-paced. You can learn on your schedule and revisit lessons anytime during your access period. This is useful when you want to review modules again during implementation or vendor evaluation. Frequently asked questions