Machine Learning Applications in HR Course
This course explores practical applications of machine learning in human resources, focusing on talent management, data preparation, model selection, bias mitigation, and actionable implementation strategies to improve HR decision-making.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course demonstrates how to set clear talent objectives, prepare secure and privacy-compliant datasets, and create effective features for recruitment, staff retention, and employee engagement. Participants will learn to select and assess models, minimise biases, communicate findings effectively, and implement predictions through actionable strategies, visual dashboards, and trial initiatives that enhance decision-making while addressing risks and compliance requirements.
Elevify advantages
Develop skills
- Design HR ML pilots: develop rapid, low-risk trials that demonstrate business benefits.
- Engineer HR data features: transform ATS and HRIS information into reliable signals ready for machine learning.
- Evaluate HR models: select indicators that measure staff turnover, hiring speed, and performance gains.
- Build fair, private HR AI: implement bias assessments, protective measures, and data privacy protocols.
- Turn ML insights into action: support recruiters and managers with straightforward guidelines.
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.What our students say
Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of 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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