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⇱ Analyze and Design AI-Driven Performance Management Systems | Coursera


Analyze and Design AI-Driven Performance Management Systems

Analyze and Design AI-Driven Performance Management Systems

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Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

5 hours to complete
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

5 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • 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.

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Recently updated!

January 2026

Assessments

8 assignments

Taught in English

Build your subject-matter expertise

This course is part of the Design and Apply Generative AI for HR Performance Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 2 modules in this course

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.

This module introduces the foundational concepts of performance management enhanced by Generative AI, examining how AI reshapes evaluation models, enables continuous feedback, improves employee engagement, and delivers data-driven metrics, calibration, and ROI insights to support fair, scalable, and strategic performance management systems.

What's included

7 videos4 assignments

7 videosβ€’Total 33 minutes
  • Introduction to Performance Management with Generative AIβ€’5 minutes
  • Value Propositions of AI in Performance Managementβ€’5 minutes
  • Implementation Strategy for AI in Performance Managementβ€’6 minutes
  • AI Driven Employee Engagementβ€’5 minutes
  • Customizing Performance Metrics with Generative AIβ€’3 minutes
  • AI Driven Performance Calibration and Benchmarkingβ€’6 minutes
  • Evaluating the ROI of AI Driven Performance Managentβ€’4 minutes
4 assignmentsβ€’Total 60 minutes
  • Foundations of AI-Enabled Performance Managementβ€’30 minutes
  • Reimagining Performance Management with Generative AIβ€’10 minutes
  • Designing and Deploying AI-Driven Performance Systemsβ€’10 minutes
  • Intelligent Metrics, Calibration, and Business Impactβ€’10 minutes

This module explores advanced and human-centered applications of Generative AI in performance management, focusing on emotional intelligence, goal setting, team dynamics, scalable AI adoption, platform selection, and emerging trends that shape the future of AI-driven performance systems.

What's included

7 videos4 assignments

7 videosβ€’Total 31 minutes
  • Intergrating Emotional Intelligence in AI Performance Systemβ€’5 minutes
  • AI Facilated Goal Setting and OKR Managementβ€’5 minutes
  • Building a Roadmap for AI Intergration in Performance Managementβ€’5 minutes
  • AI Powered Team Dynamics Analysisβ€’5 minutes
  • Future Trends in Performance Management with AIβ€’5 minutes
  • Generative AI Platforms for Performance Managementβ€’4 minutes
  • Conclusionβ€’1 minute
4 assignmentsβ€’Total 60 minutes
  • Advanced Applications and the Future of AI in Performance Managementβ€’30 minutes
  • Human-Centered and Goal-Driven AI Performance Systemsβ€’10 minutes
  • Scaling AI Across Teams and Organizationsβ€’10 minutes
  • Platforms, Trends, and the Road Aheadβ€’10 minutes

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Instructor

EDUCBA
1,591 Coursesβ€’326,930 learners

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