from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
The Course on Removing Bias from AI Algorithms teaches you practical ways to check lending data for fairness, find hidden biases, and test how models work for different groups. You will learn important measures for fairness, legal rules, and hands-on methods to fix biases using real tools and checks. You will also build strong systems for watching, recording, and human checking so that automatic credit choices remain fair, open, and responsible as time goes on.
Elevify advantages
Develop skills
- Diagnose bias in AI: check lending data, find hidden problems, and mark risks quickly.
- Use fairness measures: pick parity, odds, and impact tests that follow the law.
- Fix bias in models: adjust data, features, and limits for fair credit.
- Explain AI choices: make model cards, reports, and clear messages for applicants.
- Put ethics into practice: set up watching, rules, and human checks for AI.
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
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