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Video course · 7 chapters · 21 min · certificate

Part 14 - Using AI For Employee Retention

AI for employee retention: why retention matters, its key aspects like culture and growth, AI tools from predictive turnover analytics to recognition, wellbeing, workload balancing and career pathing, and a case study.

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What you'll learn

  • Explain why retention matters
  • Identify key retention drivers
  • Predict turnover with AI
  • Automate recognition and support wellbeing
  • Balance workloads and map career paths

Chapters

7 chapters · 20:31
  1. 1:14 01Intro Free preview Introduction to retention A new module.
  2. 1:42 02Concepts Members Understanding retention Significance.
  3. 2:17 03Drivers Members Key aspects of retention Culture and growth.
  4. 4:10 04AI Members AI tools for retention Predictive turnover.
  5. 1:54 05Recognition Members Wellbeing and recognition Real-time acknowledgement.
  6. 2:44 06Workload Members Workload and career pathing Prevent burnout.
  7. 6:30 07Case Members Case study and conclusion Engagement tracking.

Jobs this course suits

Our AI checked this course against 500 jobs; these get the most out of it. Each job links to its learning path.

Manager of Human ResourcesHuman Resources ManagersHuman Resources DirectorsHuman Resources SpecialistsGlobal Heads of Human ResourcesHR AnalystsHR GeneralistsHR ConsultantsVP of Human ResourcesEmployee Relations SpecialistsPeople Operations ManagersHR Business Partners