Machine Learning in Finance Course
This course provides hands-on training in applying machine learning to key financial applications like credit risk assessment, fraud detection, and trading strategies. Participants will learn to build, deploy, and maintain production-ready ML systems while ensuring fairness, explainability, and regulatory compliance.
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
Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to change platforms... I'm grateful for everything you do, I've already recommended you to other people...
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.
Mariana FerresPhotography Student
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The platform is fast and simple to use. The diversity of content and complementary videos really help with learning.
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