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.
from 4 to 360h flexible workload
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
As suas aulas são perfeitas. Adquiri o pacote de um ano e, finalmente, tenho a oportunidade de acompanhar diversos temas do meu interesse sem precisar mudar de plataforma... agradeço por tudo o que fazem, já recomendei vocês a outras pessoas...
Giulio CarloAluno de Marketing Digital
Eu gosto de como as lições são direto ao ponto e como eu consigo alterar capítulos e pular conteúdos que não preciso.
Mariana FerresAluna de Fotografia
Gosto do conteúdo e do modo de apresentação e transcrição de vídeos, o que acelera o processo!
Luciana AlvarengaAluna de Design de Unhas
A plataforma é rápida, simples de usar. A diversidade de conteúdo e os vídeos complementares ajudam muito no aprendizado.
Giulio CarloAluno de Engenharia de Prompt
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