AI Applications in People Management is the online course offered by the University of Pennsylvania that provides insight into the application of artificial intelligence in human resource(HR) management. The learners can pursue the AI Applications in People Management Certification Course as per their time and schedule as it is prepared flexibly.
AI Applications in People Management Certification Syllabus will discuss the implication of artificial intelligence and machine learning in people management/HR management. Offered by Coursera, AI Applications in People Management Certification by Coursera is the third programme in the AI For Business Specialization.
AI Applications in People Management Classes is a suitable programme for learners and professionals like Business Intelligence Manager, Artificial Intelligence Engineer, Business Development Executive, Human Resource Manager and what not.
Admission Details
Step 1 - First, Register and sign in at https://www.coursera.org
Step 2 -Then spot the ‘AI Applications in People Management’ by the University of Pennsylvania.
Step 2 - Begin the course by choosing the option ‘enroll’.
The Syllabus
Videos
Course Introduction
Uniqueness of HR Challenges
HR Without AI
Decision Making
Rule-based Systems
How Machine Learning Works
The Role of Training Data in Machine Learning
Feature Engineering - Beyond Structured Data
Evaluating Machine Learning Performance
End to End Example
Reading
Module 1 Slides
Practice Exercise
Module 1 Quiz
Videos
AI Application in HR
AI and Engagement
Topic Modeling
AI and Attrition
Building ML Attrition Models
The Value of Attrition Models
AI and Careers
Analyzing Skills
Reading
Module 2 Slides
Practice Exercise
Module 2 Quiz
Videos
Hiring as an Example
Broader Issues of Privacy and Ethics
Data Limitations
Why Aren't Our Systems More Accurate?
Measurement Problems
So Why Use Analytics?
Reading
Module 3 Slides
Practice Exercise
Module 3 Quiz
Videos
Where Does Bias Come From?
Bias is Difficult to Manage
Bias is Complicated to Fix
Some Approaches to Fixing Bias
What is Explainable AI?
Examples of When Interpretability is Important
Tradeoffs Between Interpretability and Performance