Advanced Level Training-Generative AI for Finance Professionals
Course Prerequisites:
• Basic understanding of finance and financial markets.
• Familiarity with programming concepts (Python preferred).
• Basic understanding of statistics and probability
This curriculum provides a solid foundation for finance professionals to understand and leverage the power of Generative AI. It emphasizes both theoretical understanding and practical application, preparing participants to lead the transformation of the financial industry through AI-driven innovation.
What you’ll learn
Module 1: Introduction to Generative AI
• Fundamentals of AI and Machine Learning: A refresher on core concepts like supervised/unsupervised learning, neural networks, and deep learning.
• What is Generative AI? Exploring different types of GenAI models (GANs, VAEs, Diffusion Models, Transformers) and their unique capabilities.
• Use Cases in Other Industries: Examining successful GenAI implementations in areas like image generation, natural language processing, and drug discovery.
• Hands-on Activity: Exploring pre-trained GenAI models for text and image generation.
Module 2: GenAI for Financial Data Analysis
• Data Preprocessing for GenAI: Handling financial time series data, cleaning, and preparing data for GenAI models.
• Time Series Forecasting with GenAI: Exploring the use of recurrent neural networks (RNNs) and transformers for predicting market trends and asset prices.
• Sentiment Analysis with GenAI: Leveraging GenAI for analyzing news articles, social media posts, and earnings call transcripts to gauge market sentiment.
• Hands-on Activity: Training a simple GenAI model to generate synthetic stock price movements.
Module 3: GenAI for Financial Content Creation
• Automated Report Generation: Using GenAI to create personalized financial reports, summaries, and market updates.
• Content Marketing with GenAI: Leveraging GenAI to generate engaging financial content for websites, blogs, and social media.
• Chatbots and Conversational AI: Building AI-powered chatbots for customer service, financial advice, and portfolio management.
• Personalized Financial Recommendations: Using GenAI to generate tailored investment recommendations and financial planning advice.
• Hands-on Activity: Building a simple chatbot for answering basic financial queries.
Module 4: Risk Management and Fraud Detection with GenAI
• Anomaly Detection: Using GenAI to identify unusual patterns and outliers in financial transactions, potentially indicating fraud or market manipulation.
• Credit Risk Assessment: Leveraging GenAI to improve credit scoring models and predict loan defaults.
• Regulatory Compliance: Exploring the use of GenAI to automate regulatory reporting and ensure compliance with financial regulations.
• Hands-on Activity: Developing a GenAI model for detecting fraudulent credit card transactions.
Module 5: Ethical Considerations and Responsible AI in Finance
• Bias in GenAI Models: Understanding the potential for bias in financial data and its impact on GenAI outputs.
• Explainability and Transparency: Exploring methods for making GenAI models more interpretable and transparent.
• Data Privacy and Security: Addressing the challenges of protecting sensitive financial data when using GenAI.
• Regulatory Landscape: Staying informed about the evolving regulatory environment for AI in finance.
• Hands-on Activity: Analyzing a pre-trained GenAI model for potential bias.
Module 6: Future Trends and Emerging Applications
• Large Language Models (LLMs) in Finance: Exploring the potential of LLMs for tasks like financial document summarization and question answering.
• Generative AI for Portfolio Optimization: Investigating the use of GenAI for creating and managing investment portfolios.
• Decentralized Finance (DeFi) and GenAI: Exploring the intersection of GenAI and DeFi, including applications in decentralized lending and borrowing.
• Quantum Computing and GenAI: Understanding the potential impact of quantum computing on GenAI in finance.
• Hands-on Activity: Brainstorming and discussing potential future applications of GenAI in finance.
Assessment:
• Quizzes: Regular quizzes to assess understanding of key concepts.
• Projects: Hands-on projects to apply learned skills to real-world financial problems.
Final evaluation: A comprehensive exam to evaluate overall knowledge and understanding.
Additional Details
• A detailed course syllabus in the PPT format will be shared for course registered professionals only
• Classes over Zoom or Google Meet
• Access on mobile and TV
• Classroom will have maximum 10 people
• Classes online during weekdays only
• No refund if finance professional miss classes.
• There is no EXAM to such trainings.
• A certificate will be provided from the Innoglobal USA office
• This training will guide you to take larger examinations from Google or other providers.
• Will provide placement assistance to qualified candidates.
Next schedule: March 31st, 2025. * Timings: 8pm EST * Duration: 1 hr.
Total Classes: 20
Fee: USD 1000
Payment link will be sent during the registration process.
For Registration, send an email to- jagadish@innoglobalusa.com / pgarapati@innoglobalusa.com
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