XAI course
Master XAI fi credit risk: build interpretable models, measure mitigate bias, design monitoring fairness audits, turn SHAP insights inna clear stakeholder-ready explanations weh meet real regulatory business needs. Dis course gi yuh practical tools fi create transparent AI weh trust an comply.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain hands-on skills fi build, explain, an monitor credit risk models wid confidence. Learn data exploration, feature engineering, preprocessing, train calibrated interpretable models. Master global local explainability, fairness metrics, bias detection mitigation. Craft clear reports, dashboards, narratives fi satisfy stakeholders, support decisions, meet regulations.
Elevify advantages
Develop skills
- Build explainable credit models: train, calibrate, document risk predictions.
- Apply SHAP global XAI tools: reveal key drivers model behavior quick.
- Design fair compliant AI: detect bias, measure impact, plan mitigation.
- Create clear local explanations: SHAP, LIME, counterfactual what-if stories.
- Deliver stakeholder-ready XAI reports: dashboards, APIs, audit-proof logs.
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 are saying
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