Machine Learning Applications in HR Course
This course explores practical applications of machine learning in human resources, focusing on ethical data handling, model development, and actionable insights to enhance recruitment, retention, and employee engagement while ensuring fairness and compliance.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course teaches how to set clear talent targets, prepare secure datasets that respect privacy, and create strong features for recruitment, keeping staff, and boosting involvement. You'll learn to pick and assess models, cut down bias, explain findings simply, and change predictions into real steps, dashboards, and trials that better decisions while handling risks and rules.
Elevify advantages
Develop skills
- Design HR ML pilots: create fast, low-risk tests that show business worth.
- Engineer HR data features: change ATS and HRIS data into clean, ready-for-ML signals.
- Evaluate HR models: select measures that follow staff loss, hire time, and gains.
- Build fair, private HR AI: use bias checks, protections, and privacy rules.
- Turn ML insights into action: help recruiters and managers with simple guides.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workloadWhat our students say
Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.
André FelipePrompt Engineering Student
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