AI Training for Finance Professionals – Course Curriculum
📌 Course Overview
This course provides finance professionals with a deep understanding of AI applications in banking, investment, fraud detection, risk management, and compliance. Participants will gain hands-on experience with AI tools, machine learning models, and financial data analytics.
📖 Course Modules & Contents
📍 Module 1: Introduction to AI in Finance
🔹 Understanding AI, Machine Learning (ML), and Deep Learning
🔹 AI trends and applications in banking, investment, and FinTech
🔹 The role of Big Data, Cloud Computing, and AI-driven automation
📍 Module 2: AI for Fraud Detection & Risk Management
🔹 AI-based real-time fraud detection and prevention
🔹 Machine learning models for credit risk assessment
🔹 Anomaly detection in transactions & money laundering activities
🔹 AI-powered cybersecurity solutions in finance
📍 Module 3: AI in Algorithmic Trading & Investment Strategies
🔹 AI-driven predictive analytics for stock market trends
🔹 Sentiment analysis using Natural Language Processing (NLP)
🔹 Algorithmic trading: How hedge funds and banks use AI for automation
🔹 Risk mitigation techniques with AI-powered forecasting
📍 Module 4: AI for Personalized Banking & Customer Experience
🔹 AI-powered chatbots & virtual assistants for financial services
🔹 Customer segmentation and personalized financial advisory
🔹 AI-driven sentiment analysis to improve customer engagement
🔹 Case studies of AI in retail and corporate banking
📍 Module 5: AI in Credit Scoring & Loan Underwriting
🔹 AI models for alternative credit scoring (beyond traditional credit history)
🔹 Automated loan approvals & AI-based underwriting
🔹 Ethical concerns and bias in AI-driven lending decisions
📍 Module 6: AI for Regulatory Compliance & Anti-Money Laundering (AML)
🔹 AI applications in RegTech (Regulatory Technology)
🔹 Automated compliance reporting & AI-powered risk monitoring
🔹 Real-time AI models for AML detection and suspicious transaction monitoring
📍 Module 7: AI & Financial Data Analytics
🔹 Understanding structured vs. unstructured financial data
🔹 AI techniques for forecasting and financial modeling
🔹 Data visualization and AI-driven financial reporting
📍 Module 8: Hands-On AI Implementation in Finance
🔹 Practical machine learning projects for financial applications
🔹 AI toolkits: Python, TensorFlow, Scikit-Learn, and financial AI APIs
🔹 Building an AI-powered risk management system
🔹 Implementing an AI-driven chatbot for banking services
⏳ Course Duration & Delivery
📌 Flexible Learning Options:
🔹 2-3 Day Intensive Workshop – AI fundamentals & finance applications
🔹 4-6 Week Comprehensive Program – Hands-on AI projects & real-world case studies
🔹 Custom Corporate Training – Tailored sessions for financial institutions
🎯 Key Takeaways
✅ Understand AI’s role in finance and how to leverage it effectively.
✅ Apply AI for fraud detection, risk management, and investment strategies.
✅ Gain hands-on experience with AI tools and financial data analytics.
✅ Enhance customer experience and automate compliance with AI solutions.
📩 Get Started Today!
🚀 Future-proof your finance career with AI expertise. Enroll in our AI training for finance professionals today!
CONTACT
mail@global-skills-academy.com
