Explainable AI Course
Gain expertise in explainable AI for loan decisions through transparent modelling, SHAP and LIME techniques, counterfactuals, fairness and bias mitigation, and building production-ready, regulator-compliant credit risk systems that earn stakeholder trust. This course equips you with practical skills to develop reliable, auditable models from real datasets.

flexible workload of 4 to 360h
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 accurate predictions, applying global and local explainability methods, creating clear approval and rejection reasons, tackling fairness and bias issues, and deploying compliant, auditable production systems.
Elevify advantages
Develop skills
- Build fair loan models by detecting bias, applying metrics, and implementing compliant fixes quickly.
- Explain models globally using feature importance and PDPs for clear loan insights.
- Deliver local decisions with 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 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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