Generative AI in Finance

Resumen

Join our course, "Generative AI in Finance," for an in-depth understanding of how AI is revolutionizing the financial sector. Explore foundational concepts, key AI models, and their applications in financial analysis, decision-making, and compliance.

Target Audience:

• Finance Professionals & Analysts:

  Gain insights and automation skills in financial operations using AI.

• Risk & Compliance Officers:

  Learn AI's role in fraud detection and regulatory adherence.

• Investment Managers & Traders:

  Utilize AI for predictive modeling and market trend analysis.

• AI Engineers & Data Scientists:

  Develop and optimize AI models for financial applications.

• Business Leaders & Product Managers:

  Integrate AI strategies into financial services and fintech solutions.

Module 1:

Foundations of Generative AI in Finance

Build a solid grounding in Generative AI concepts.

Understand key models like GANs, VAEs, and LLMs and their integration into financial services. Explore AI-driven data processing for investment automation and portfolio optimization.

Module 2:

Advanced Applications and Risk Management with Generative AI

Dive into high-stakes AI applications in financial services, including risk assessment and fraud detection.

Examine AI's role in credit evaluation, AML, and KYC processes, and master ethical AI practices for financial environments.

Offered by Coursera, this course arms you with the skills and insights needed to leverage Generative AI effectively in modern finance.

Categories:

Machine Learning, Generative AI, LLM, Risk Management, Prompt Engineering, Finance, GANs, Financial Analysis, Fraud Detection.

Materias