Machine Learning Applications in HR Course
Learn how to apply machine learning in HR to improve recruiting, retention, and engagement while protecting fairness, privacy, and trust. Turn HR data into clear actions, dashboards, and KPIs that drive better people decisions and measurable business impact.

flexible workload from 4 to 360h
valid certificate in your country
What will I learn?
This Machine Learning Applications in HR Course shows how to define measurable talent goals, build clean, privacy-aware datasets, and design powerful features for hiring, retention, and engagement. Learn to choose and evaluate models, reduce bias, explain results clearly, and turn predictions into practical actions, dashboards, and pilots that improve decisions while managing risk and regulatory expectations.
Elevify advantages
Develop skills
- Design HR ML pilots: build quick, low-risk experiments that prove business value.
- Engineer HR data features: turn ATS and HRIS data into clean ML-ready signals.
- Evaluate HR models: choose metrics that track attrition, time-to-hire, and lift.
- Build fair, private HR AI: apply bias checks, safeguards, and privacy controls.
- Turn ML insights into action: guide recruiters and managers with clear playbooks.
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 workload.What our students say
Your classes are perfect. I purchased the one-year package and finally have the chance to follow several topics I'm interested in without needing to switch platforms... I appreciate everything you do, I've already recommended you to others...

Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.

Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the supplementary videos really help with learning.

Giulio CarloPrompt Engineering Student
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