XAI course
This course equips you to master Explainable AI (XAI) for credit risk management. You will construct interpretable models, evaluate and reduce bias, set up monitoring and fairness checks, and convert SHAP analysis into straightforward explanations that align with regulatory standards and business requirements, ensuring confident decision-making.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
Gain hands-on skills to develop, interpret, and track credit risk models effectively. Explore data, engineer features, preprocess inputs, and build reliable, understandable models. Learn global and local explainability techniques, fairness checks, bias identification, and correction methods. Produce stakeholder-friendly reports, dashboards, and stories that aid decisions and comply with regulations.
Elevify advantages
Develop skills
- Develop explainable credit models by training, calibrating, and recording risk forecasts.
- Use SHAP and global XAI methods to uncover vital factors and model patterns quickly.
- Build fair and regulation-compliant AI through bias detection, impact assessment, and remedy strategies.
- Produce detailed local explanations using SHAP, LIME, and hypothetical scenarios.
- Prepare XAI reports for stakeholders with dashboards, APIs, and verifiable records.
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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