XAI course
Master explainable AI for credit risk modelling. Build clear, interpretable models, assess and reduce bias, set up monitoring and fairness checks, and transform SHAP analysis into straightforward explanations that meet business demands and regulatory standards. Perfect for reliable risk predictions in finance.

from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
Gain hands-on skills to develop, interpret, and track credit risk models reliably. Explore data, engineer features, preprocess effectively, and build trustworthy, explainable models. Excel in global and local explanations, fairness checks, bias spotting, and fixes. Produce stakeholder-friendly reports, dashboards, and stories that drive decisions and comply with rules.
Elevify advantages
Develop skills
- Build transparent credit risk models: train, calibrate, and record predictions.
- Use SHAP and global XAI methods: uncover main factors and model patterns quickly.
- Develop fair, rule-compliant AI: spot bias, gauge effects, and apply fixes.
- Craft precise local explanations: with SHAP, LIME, and what-if scenarios.
- Produce XAI reports for stakeholders: including dashboards, APIs, and full audit trails.
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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