AI for HR Analytics and Decision Making

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Course Overview

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Mentor Based

Program Syllabus

Module 1

About This Course

This self-paced program covers the application of AI in HR analytics and decision-making. Participants will learn to predict employee turnover, analyze performance trends, and make strategic decisions supported by AI analytics. The course also provides an overview of leading HR analytics platforms and prepares participants for AI in HR certification exams.

Module 2

Aim

To equip PhD scholars and academicians with advanced skills in leveraging AI for data-driven decision-making in HR. This course aims to enhance strategic decision-making through predictive analytics, advanced HR tools, and certification preparation.

Module 3

Program Objectives

Utilize predictive analytics for HR decision-making.
Implement data-driven strategies in HR.
Master the use of HR analytics tools.
Prepare for AI in HR certification exams.
Enhance strategic HR decisions with AI insights.

Module 4

Program Structure

The role of predictive analytics in HR.
Techniques for data-driven decision-making in HR.
Practical usage of HR analytics platforms like Visier.
Key topics and preparation for AI in HR certification exams.
Real-world applications and case studies in AI-driven HR strategies.

Lead Instructor

Dr. Sarah Chen

PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.

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