Explainable AI Course
Gain mastery in explainable AI for loan decisions. Learn transparent modelling techniques, SHAP and LIME methods, counterfactuals, fairness and bias mitigation strategies, and how to build production-ready, regulator-compliant credit risk systems that stakeholders trust fully.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This practical Explainable AI Course teaches building transparent loan and credit-risk models from real data, defining targets, engineering features for reliable predictions, applying global and local explainability, designing clear approval reasons, addressing fairness and bias, and deploying compliant, auditable production systems.
Elevify advantages
Develop skills
- Build fair loan models by detecting bias, using metrics, and implementing quick compliant fixes.
- Explain models globally with feature importance and PDPs for clear loan insights.
- Deliver local decisions using SHAP, LIME, and counterfactuals in simple English.
- Design XAI-first systems by integrating explanations into APIs, UI, and monitoring.
- Engineer credit data to create calibrated, interpretable models for risk scoring.
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
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