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Coursera

Artificial Intelligence in Finance

via Coursera

Overview

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Transform financial decision-making by learning how artificial intelligence, machine learning, and generative AI are applied across modern finance. This course is designed for learners who want to understand and evaluate AI applications in banking, investment, risk, compliance, and financial operations. You’ll explore the evolution of AI, financial-market data, predictive and deep-learning models, credit-risk analysis, algorithmic trading, and financial data preparation. You’ll learn to select and evaluate classification, regression, clustering, and time-series models, and apply natural language processing and large language models to analyze financial documents, entities, themes, and sentiment. You’ll also examine responsible AI through fairness, privacy, transparency, explainability, security, human oversight, and regulatory considerations. Explore AI-enabled forecasting, reconciliation, document processing, and fraud detection, then assess generative AI, autonomous agents, privacy-enhancing technologies, and evolving workforce requirements. By the end, you’ll be prepared to evaluate and support responsible AI initiatives that improve financial decision-making and operations while aligning with governance and regulatory expectations.

Syllabus

  • Foundations of AI in Finance
    • Module description: Analyze the evolution of artificial intelligence, connect financial-market data with machine-learning methods, and evaluate predictive and deep-learning models for financial forecasting, credit risk, and decision-making.
  • Responsible AI and the Finance Technology Stack
    • Module description: Evaluate algorithmic trading, responsible-AI principles, financial technology infrastructure, and data-preparation practices required to build scalable, secure, fair, and reliable AI solutions.
  • Building Intelligent Financial Applications
    • Module description: Select, apply, and evaluate machine-learning models for financial problems and use natural language processing and large language models to extract actionable insights from financial text.
  • Transformation and the Future of AI in Finance
    • Module description: Apply AI to financial operations, forecasting, reconciliation, and fraud detection while evaluating generative AI, autonomous agents, privacy-enhancing technologies, and emerging workforce requirements.

Taught by

TSV Learning

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