Course Outline

Introduction to LLMs in Finance for Government

  • The role of AI and LLMs in financial analysis for government agencies
  • Overview of LLMs and their capabilities in text analysis for government use
  • Case studies: LLMs in financial forecasting and risk assessment within public sector contexts

LLMs for Financial Data Processing for Government

  • Extracting financial indicators from unstructured data with LLMs for enhanced governmental oversight
  • Training LLMs on financial texts for sentiment analysis to inform policy decisions
  • Correlating news sentiment with market movements to support public sector financial planning

Building Predictive Models with LLMs for Government

  • Designing LLM-based models for stock price prediction to aid in government financial forecasting
  • Forecasting economic trends using LLM-generated insights for better governance
  • Backtesting models with historical financial data to ensure accuracy and reliability for government use

Integrating LLMs into Investment Strategies for Government

  • Incorporating LLM analytics into quantitative trading to optimize public sector investments
  • LLMs for portfolio optimization and risk management in governmental financial portfolios
  • Communicating AI-driven insights to stakeholders within the government and regulatory bodies

Hands-on Lab: Financial Market Prediction Project for Government

  • Setting up a financial data analysis environment with LLMs for government agencies
  • Developing a market prediction model using LLMs to support public sector financial decision-making
  • Evaluating model performance and making improvements to ensure alignment with governmental objectives

Summary and Next Steps for Government

Requirements

  • A foundational knowledge of financial markets and instruments
  • Experience with Python programming and data analysis
  • Familiarity with machine learning concepts and statistical models

Audience for government

  • Financial analysts
  • Data scientists
  • Investment professionals
 14 Hours

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