AI in Finance
Machine learning applications, fairness, explainability, AI governance
Prerequisites: Python, basic statistics, ML fundamentals
24
Hours
15
Topics
11
Tier 1
3
Tier 2
Target Audience
Data scientists
ML engineers
Risk analysts
Quants
Career Paths
ML Engineer (Finance)
Credit Risk Data Scientist
AI Governance Specialist
Topics Included
| ID | Topic | Tier | Shared With |
|---|---|---|---|
| 5.1 | AI in Finance: Reality Check | TIER 1 | - |
| 5.2 | Financial Data Sources | TIER 1 | - |
| 5.3 | Time Series Prediction | TIER 1 | - |
| 5.4 | Fraud Detection | TIER 1 | - |
| 5.5 | Explainable AI | TIER 1 | - |
| 5.6 | LLMs in Finance | TIER 2 | - |
| 5.7 | Computer Vision in Finance | TIER 2 | - |
| 5.8 | Reinforcement Learning | TIER 3 | - |
| 5.9 | MLOps in Finance | TIER 1 | - |
| 5.10 | NLP for Finance | TIER 2 | - |
| 5.11 | Model Drift & Monitoring | TIER 1 | - |
| 2.2 | Credit Risk: FICO to ML PD Models | TIER 1 | cert_1 |
| 2.3 | Fair Lending & Algorithmic Bias | TIER 1 | cert_1 |
| 7.8 | AI Regulation | TIER 1 | cert_4 |
| 7.9 | Model Risk Management | TIER 1 | cert_4 |