Udemy - AI-Driven People Management - Next-Level Leadership

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Udemy - AI-Driven People Management - Next-Level Leadership (Size: 2.9 GB)
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ~Get Your Files Here !
  1 - Foundations of AI in People Management
  1. Introduction to People Management with AI.mp4 197 MB
  1. Section 1 Knowledge Check.html 7.3 KB
  2 - Generative AI Across the Employee Lifecycle
  2. Section 2 Knowledge Check.html 7.8 KB
  3 - AI Implementation & Analytics
  10. Prompt Engineering and AI Tools for Managers.mp4 239.4 MB
  3. Section 3 Knowledge Check.html 7.4 KB
  4 - Trends Case Study and Recap
  11. Emerging Trends and the Future of People Management with AI.mp4 204.8 MB
  12. Case Study RingCentral’s AI‑Driven Hiring Transformation.mp4 236.9 MB
  13. Recap Playbook and Next Steps.mp4 207.2 MB
  4. Section 4 Knowledge Check.html 7.6 KB
  5. Final Challenge.html 21 KB
  8. People Analytics for Data‑Driven Decisions.mp4 238.9 MB
  9. AI Implementation Frameworks and Change Management.mp4 294.8 MB
  4. AI in Recruitment and Talent Acquisition.mp4 249.7 MB
  5. AI for Performance Management and Employee Engagement.mp4 260.9 MB
  6. AI‑Driven Onboarding and Learning & Development.mp4 10.4 MB
  7. Workforce Planning Scheduling and Compliance with AI.mp4 243.3 MB
  2. Fundamentals of AI and People Analytics.mp4 268.4 MB
  3. Responsible and Ethical AI in People Management.mp4 269.4 MB

Description


AI-Driven People Management: Next-Level Leadership

https://WebToolTip.com

Published 12/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 38m | Size: 2.85 GB

Use generative AI & people analytics to hire, onboard, coach, and engage your team—ethically and efficiently.

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.

Requirements
There are no pre-requisites for this course

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