Analyze and Design AI-Driven Performance Management Systems

Learners will be able to analyze modern performance management challenges, apply Generative AI to employee evaluation and engagement, design intelligent performance metrics, and assess the business impact of AI-enabled performance systems. This course equips HR leaders, people managers, and business professionals with practical and strategic capabilities to transform performance management using Generative AI. Learners will explore how AI shifts performance management from static, retrospective reviews to continuous, insight-driven, and development-focused systems. Through structured modules, the course covers AI implementation strategies, employee engagement, emotional intelligence, goal setting, calibration, benchmarking, ROI evaluation, and scalable adoption across teams. What makes this course unique is its balanced, human-centered approach. Rather than treating AI as a replacement for managerial judgment, the course emphasizes responsible, explainable, and ethical AI that augments leadership decision-making. Learners gain exposure to real-world use cases, platform considerations, and future trends, enabling them to make informed, future-ready decisions. By the end of the course, learners will be prepared to design, evaluate, and lead AI-driven performance management initiatives that improve fairness, engagement, and organizational outcomes

• Apply Generative AI to design fair, continuous, and insight-driven performance management systems
• Evaluate employee engagement, goals, and outcomes using AI-supported metrics and analytics
• Assess ethical, explainable, and business-aligned AI strategies for performance management adoption

• No deep prior experience is required but basic computer and internet skills are helpful
• Ability to read course instructions in English and complete short practice activities