from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This short, practical course shows you how to turn AI models into reliable, profit-focused decisions. Learn to source and validate market data, engineer robust features, avoid look-ahead bias, and run trustworthy backtests. You will evaluate results with risk-adjusted metrics, manage drift and model risk, and integrate quantitative outputs with qualitative judgment for clear, defensible recommendations.
Elevify advantages
Develop skills
- AI trading models: design, backtest, and tune signals for real-world portfolios.
- Financial data pipelines: source, clean, and validate US equity and macro data fast.
- Feature engineering for finance: build robust price, risk, and fundamental factors.
- Risk-adjusted evaluation: measure Sharpe, drawdowns, and true alpha after costs.
- Model governance in finance: monitor drift, explain decisions, and control AI risk.
Suggested summary
Before starting, you can change the chapters and 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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