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Eliminating Bias in AI Algorithms Course

Eliminating Bias in AI Algorithms Course
flexible workload from 4 to 360h
valid certificate in your country

What will I learn?

The Course on Removing Bias in AI Algorithms equips you with practical skills to check lending datasets, spot hidden bias, and assess model performance across different groups. You will learn important fairness measures, legal aspects, and hands-on ways to reduce bias using real tools and tests. Develop strong systems for monitoring, recording, and human checks to ensure automated credit decisions remain fair, open, and responsible over time.

Elevify advantages

Develop skills

  • Diagnose AI bias: check lending data, spot hidden problems, and identify risks quickly.
  • Apply fairness metrics: select parity, odds, and impact tests that follow the law.
  • Mitigate bias in models: adjust data, features, and thresholds for fair credit.
  • Explain AI decisions: create model cards, reports, and clear messages for applicants.
  • Operationalize ethics: establish monitoring, governance, and human review for AI.

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.
Workload: between 4 and 360 hours

What our students say

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... I appreciate everything you do, I've already recommended you to others...
Giulio Carlo
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 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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