XAI course
Acquire mastery in Explainable AI for credit risk modelling. Construct interpretable models, evaluate and address biases, implement monitoring and fairness checks, and convert SHAP analyses into concise, actionable explanations that align with regulatory standards and business priorities. This course equips you to deliver transparent AI solutions that build trust and support informed lending decisions.

4 to 360 hours of flexible workload
certificate valid in your country
What Will I Learn?
Gain hands-on expertise in developing, interpreting, and overseeing credit risk models confidently. Cover data exploration, feature engineering, preprocessing, and training interpretable models. Delve into global and local explainability techniques, fairness assessments, bias identification, and mitigation strategies. Produce stakeholder-friendly reports, dashboards, and narratives that drive decisions and comply with regulations.
Elevify Advantages
Develop Skills
- Develop explainable credit risk models through training, calibration, and thorough documentation.
- Utilise SHAP and global XAI methods to swiftly uncover key factors and model dynamics.
- Engineer equitable, regulation-compliant AI by identifying biases, assessing effects, and devising remedies.
- Generate precise local explanations using SHAP, LIME, and counterfactual scenarios.
- Produce polished XAI deliverables for stakeholders, including dashboards, APIs, and verifiable audit trails.
Suggested Summary
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