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Machine Learning Applications in HR Course

Machine Learning Applications in HR Course
4 to 360h flexible workload
certificate valid 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 the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students are saying

Your classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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