from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This short course teaches how to build and handle AI credit models properly, including spotting bias, fairness measures, and ways to fix problems. You will learn main risk modelling ways, data quality checks, tools for explaining models, and how to manage them. Get hands-on skills for putting models to use in line with rules, watching them, and recording details that pass checks from inside the company and government bodies.
Elevify advantages
Develop skills
- Fair credit modelling: spot, check, and fix bias in loan choices quickly.
- Credit ML design: create, check, and adjust PD and risk models surely.
- Regulatory-ready AI: record, explain, and protect models to examiners and rule makers.
- Data and drift control: keep inputs clean, watch for model changes, and respond fast.
- Model risk governance: set up lists, checks, and safe ways to launch models.
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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