XAI course
This course equips you to master Explainable AI for credit risk modeling. You will construct interpretable models, assess and reduce bias, set up monitoring and fairness reviews, and convert SHAP analyses into straightforward explanations that fulfill regulatory standards and business demands. Perfect for building trust in AI-driven financial decisions.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain hands-on skills to develop, interpret, and oversee credit risk models reliably. Explore data, engineer features, preprocess inputs, and train accurate, understandable models. Excel in global and local explanations, fairness checks, bias identification, and correction. Produce stakeholder-friendly reports, dashboards, and stories that drive decisions and comply with regulations.
Elevify advantages
Develop skills
- Develop explainable credit models: train, calibrate, and record risk forecasts.
- Use SHAP and global XAI methods: uncover vital factors and model patterns quickly.
- Build fair, regulation-compliant AI: spot bias, gauge effects, and devise remedies.
- Produce precise local explanations: apply SHAP, LIME, and counterfactual scenarios.
- Generate stakeholder-approved XAI reports: include dashboards, APIs, and verifiable logs.
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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