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AI in Finance: Harnessing LLMs and Generative AI

This course provides a foundational understanding of how artificial intelligence (AI), machine learning (ML), and generative AI are transforming the financial industry. Participants will explore essential AI concepts, data handling techniques, and machine learning algorithms, with a special focus on Large Language Models (LLMs) and generative AI applications in finance. Through hands-on projects, learners will apply these technologies to solve real-world financial problems, including risk management, fraud detection, and portfolio optimization.

Course Duration:

18 Hours

Level:

Fundamental

Objectives:

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

  • Understand AI fundamentals and their applications in finance.

  • Develop skills in handling and preprocessing financial data.

  • Apply machine learning algorithms to financial use cases.

  • Explore deep learning concepts and implement basic neural networks.

  • Leverage LLMs for financial tasks like sentiment analysis and report generation.

  • Build and apply generative AI models for risk modeling and asset management.

  • Recognize ethical considerations and stay informed about future trends in AI for finance.

Prerequisites:

  • Basic programming knowledge (preferably Python).

  • Familiarity with finance concepts (e.g., risk, trading, portfolio management).

  • An understanding of basic statistics and linear algebra.

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