AI for Finance: Forecasting & Fraud Training in San Francisco

AI for Finance: Forecasting & Fraud Training in San Francisco, USA

Participants will gain both conceptual knowledge and hands-on experience in designing, implementing, and evaluating AI-driven financial solutions.

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AI for Finance: Forecasting & Fraud Training is a professional training program delivered by ProgNXT in San Francisco, USA. ProgNXT, a globally recognized corporate training provider in 55+ countries, offers this AI for Finance: Forecasting & Fraud Training course with hands-on, instructor-led sessions. This course focuses on applying Artificial Intelligence (AI) and Machine Learning (ML) to two critical areas in finance: forecasting (market trends,...

Expert Panel

Designed by the ProgNXT AI & Data Science Expert Panel, specializing in Generative AI, Machine Learning, and ChatGPT applications

ProgNXT AI & Data Science Expert Panel

Course Code: EAO78
14 Hrs
Last Updated: April 2026

Course Rating5/5

This course focuses on applying Artificial Intelligence (AI) and Machine Learning (ML) to two critical areas in finance: forecasting (market trends, risk modeling, credit scoring) and fraud detection (transaction monitoring, anomaly detection, insider threats). Participants will gain both conceptual knowledge and hands-on experience in designing, implementing, and evaluating AI-driven financial solutions.

Welcome to the official AI for Finance: Forecasting & Fraud Training certification program in San Francisco, USA. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge locally. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 14 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

Basic knowledge of finance, accounting, and financial instruments.
Foundational understanding of AI/ML concepts.
(Preferred) Experience with data analysis tools (Python, R, or Excel).

By the end of the course, participants will be able to:

Understand the role of AI in financial forecasting and fraud detection.
Apply machine learning models for financial time series forecasting.
Build anomaly detection systems for fraud monitoring.
Interpret AI-driven predictions for risk management and decision-making.
Address ethical, compliance, and regulatory issues in AI for finance.

Financial time series forecasting using AI.
Fraud detection through anomaly and pattern recognition.
Data preprocessing and feature engineering for finance datasets.
Application of supervised and unsupervised learning techniques.
Risk management and compliance-aware AI usage.
Practical experience in building AI finance models.

Quiz on AI/ML concepts applied to finance
Short problem-solving assignment on forecasting accuracy
Case study analysis on fraud detection workflow

Participants who attend all sessions and successfully complete the course assessments will receive a ProgNXT Certificate of Completion.

AI Foundations in Finance

Introduction to AI in Finance

AI applications in financial services
Overview of forecasting and fraud detection challenges

Data for AI in Finance

Financial datasets (transactions, credit, time series)
Data preprocessing and feature engineering
Handling imbalanced and anomalous data

Forecasting with AI

Time series analysis with AI/ML (ARIMA vs. LSTM, RNNs, Transformers)
Use cases: revenue forecasting, stock trend prediction, credit scoring

Fraud Detection & Risk Management

Fraud Detection using AI

Fraud detection methods: supervised, unsupervised, and hybrid approaches
Anomaly detection (autoencoders, clustering, statistical models)
Real-time fraud detection in payments and banking

Case Studies in AI for Fraud

Credit card fraud detection
Insider trading monitoring
AML (Anti-Money Laundering) with AI

Risk, Compliance, and Ethics

Regulatory frameworks: Basel III, AML/KYC norms, GDPR
Model interpretability & explainability in finance AI
Managing bias, fairness, and transparency

Hands-on Exercises

Summary and Conclusion

Slide decks and lecture notes
Python/R notebooks for forecasting and fraud detection demos
Financial datasets (sample anonymized data)
Case studies on AI in banks and fintech
Recommended reading

Participation & Class Engagement
Quizzes & Assignments

ProgNXT Certificate of Completion will be awarded to participants who successfully complete the course and assessments.

AI for Finance: Forecasting & Fraud Training Events in san-francisco

Online Events

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More Upcoming Session Dates

October 2026

🌐 Online Instructor-Led

18th Oct 2026→19th Oct 2026

📍 San Francisco, USA

21st Oct 2026→22nd Oct 2026

November 2026

📍 San Francisco, USA

2nd Nov 2026→3rd Nov 2026

🌐 Online Instructor-Led

5th Nov 2026→6th Nov 2026

🌐 Online Instructor-Led

23rd Nov 2026→24th Nov 2026

📍 San Francisco, USA

26th Nov 2026→27th Nov 2026

December 2026

🌐 Online Instructor-Led

2nd Dec 2026→3rd Dec 2026

📍 San Francisco, USA

11th Dec 2026→12th Dec 2026

🌐 Online Instructor-Led

24th Dec 2026→25th Dec 2026

📍 San Francisco, USA

27th Dec 2026→28th Dec 2026

Events for other courses in San Francisco, USA

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AI for Finance: Forecasting & Fraud Training in San Francisco