Machine Learning in Finance Course
This course equips you with end-to-end machine learning skills tailored for finance, covering model building for credit risk, fraud detection, and trading, plus deployment, monitoring, and ethical considerations to ensure compliant and effective systems.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
Master practical machine learning for credit risk, trading strategies, and fraud detection with this concise, high-impact course. Learn data preprocessing, feature engineering, labelling, and robust model design, then move to backtesting, deployment, monitoring, and governance. Gain skills in explainability, fairness, and compliance so you can build reliable, scalable, and audit-ready decision systems end to end.
Elevify advantages
Develop skills
- Build ML credit risk models: from raw loan data to calibrated PD scores.
- Design fraud detection pipelines: streaming features, drift control, and KPIs.
- Create and backtest ML trading signals with robust, leak-free time series data.
- Operationalise ML in finance: deployment, monitoring, governance, and audits.
- Apply fair, explainable ML: bias checks, SHAP insights, and regulatory alignment.
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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