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Course Outline
Introduction to AI in Financial Services
- Use cases: fraud detection, credit scoring, compliance monitoring
- Regulatory considerations and risk frameworks
- Overview of fine-tuning in high-risk environments
Preparing Financial Data for Fine-Tuning
- Sources: transaction logs, customer demographics, behavioral data
- Data privacy, anonymization, and secure processing
- Feature engineering for tabular and time-series data
Model Fine-Tuning Techniques
- Transfer learning and model adaptation to financial data
- Domain-specific loss functions and metrics
- Using LoRA and adapter tuning for efficient updates
Risk Prediction Modeling
- Predictive modeling for loan default and credit scoring
- Balancing interpretability vs. performance
- Handling imbalanced datasets in risk scenarios
Fraud Detection Applications
- Building anomaly detection pipelines with fine-tuned models
- Real-time vs. batch fraud prediction strategies
- Hybrid models: rule-based + AI-driven detection
Evaluation and Explainability
- Model evaluation: precision, recall, F1, AUC-ROC
- SHAP, LIME, and other explainability tools
- Auditing and compliance reporting with fine-tuned models
Deployment and Monitoring in Production
- Integrating fine-tuned models into financial platforms
- CI/CD pipelines for AI in banking systems
- Monitoring drift, retraining, and lifecycle management
Summary and Next Steps
Requirements
- An understanding of supervised learning techniques
- Experience with Python-based machine learning frameworks
- Familiarity with financial datasets such as transaction logs, credit scores, or KYC data
Audience
- Data scientists in financial services
- AI engineers working with fintech or banking institutions
- Machine learning professionals building risk or fraud models
14 Hours
Delivery Options
Private Group Training
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- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from €4560 online delivery, based on a group of 2 delegates, €1440 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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