Eliminating Bias in AI Algorithms Course
Master practical tools to detect, measure, and reduce bias in AI credit models. Learn fairness metrics, data audits, mitigation strategies, and governance so you can design ethical, compliant, and transparent algorithms that protect vulnerable borrowers.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
The Eliminating Bias in AI Algorithms Course gives you practical skills to audit lending datasets, detect hidden bias, and evaluate model performance across groups. Learn key fairness metrics, legal considerations, and hands-on mitigation techniques using real tools and tests. Build robust monitoring, documentation, and human oversight workflows so automated credit decisions stay fair, transparent, and accountable over time.
Elevify advantages
Develop skills
- Diagnose AI bias: audit lending data, detect hidden harms, and flag risk fast.
- Apply fairness metrics: choose parity, odds, and impact tests that meet law.
- Mitigate bias in models: tune data, features, and thresholds for fair credit.
- Explain AI decisions: craft model cards, reports, and clear applicant messages.
- Operationalize ethics: set monitoring, governance, and human review 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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