Use generative AI & people analytics to hire, onboard, coach, and engage your team—ethically and efficiently.
Managing people has gotten harder and heavier. Many organizations are getting flatter, which means managers are being asked to support more direct reports than they used to. The average manager’s span of control has increased dramatically in recent years. Add hybrid work, nonstop communication, and higher expectations for coaching and development—and it’s no surprise managers feel squeezed.
What you’ll learn
- Apply AI to core manager workflows: hiring, onboarding, feedback, performance, and engagement..
- Use the 4 analytics types (descriptive→prescriptive) to turn people data into better decisions..
- Draft clearer, fairer manager communication with prompt templates (reviews, coaching, recognition)..
- Spot early signals of burnout or attrition and respond with human-first interventions..
- Evaluate AI tools for bias, privacy, and explainability using practical governance checklists..
- Plan and run a 30–60–90 day AI pilot with success metrics and change-management tactics..
Course Content
- Foundations of AI in People Management –> 3 lectures • 25min.
- Generative AI Across the Employee Lifecycle –> 4 lectures • 25min.
- AI Implementation & Analytics –> 3 lectures • 26min.
- Trends, Case Study, and Recap –> 3 lectures • 22min.
Requirements
Managing people has gotten harder and heavier. Many organizations are getting flatter, which means managers are being asked to support more direct reports than they used to. The average manager’s span of control has increased dramatically in recent years. Add hybrid work, nonstop communication, and higher expectations for coaching and development—and it’s no surprise managers feel squeezed.
At the same time, the manager impact has never been bigger: Gallup reports manager engagement fell to 27% in 2024, and it consistently highlights how strongly managers shape the employee experience. Meanwhile, burnout isn’t rare—Gallup has reported that about three in four U.S. employees experience burnout at least sometimes.
So here’s the real question: How do you lead people well when your bandwidth is maxed out?
That’s exactly what this course solves—by showing you how to use AI (especially generative AI) and people analytics to remove friction from the admin parts of management, make decisions more consistent and data-informed, and free up time for the human work that actually moves performance.
You’ll learn how to use AI in the real workflows managers touch every week—without turning leadership into “automation,” and without crossing privacy or fairness lines.
In this course, you’ll learn how to:
- Use generative AI to draft high-quality feedback, recognition, and performance narratives (in your voice)
- Apply people analytics (descriptive → diagnostic → predictive → prescriptive) to make better, more defensible decisions
- Improve recruiting with AI: job posts, screening structure, scheduling, and bias-aware evaluation
- Upgrade onboarding and development with AI: personalized learning paths, skills mapping, and coaching support
- Spot early risk signals (burnout/attrition) and respond with human-first interventions
- Implement AI responsibly using practical guardrails for privacy, bias, transparency, and human oversight
- Run a realistic 30–60–90 day rollout plan so adoption sticks (and doesn’t create fear or mistrust)
And yes, AI can save real time when used well. For example, Microsoft reported that Copilot users reported time savings of ~11 minutes per day (adding up quickly over weeks). The goal in this course is to help you turn that kind of efficiency into better leadership: more coaching, clearer expectations, faster feedback, and more consistent people decisions.
If you want to become a next-level people manager—with AI as your co-pilot (not your replacement)—you’re in the right place.