AI agents in finance.

Format:

Video

Contributor:

Dupouy, Hanane, instructor.

Packt Publishing, publisher.

Language:

English

Subjects (All):

Artificial intelligence--Financial applications.

Artificial intelligence.

Finance--Data processing.

Finance.

Physical Description:

1 online resource (1 video file (51 min.)) : sound, color.

Edition:

[First edition].

Place of Publication:

[Birmingham, United Kingdom] : Packt Publishing, 2025.

Summary:

In this comprehensive 60-minute course, you'll explore how agentic AI is transforming finance through intelligent architectures, reasoning paradigms, and coordinated multi-agent systems. Learn how to build and apply AI agents to automate financial analysis, enhance decision-making, and create adaptive strategies powered by advanced frameworks. What I will be able to do after this course Understand how agentic AI workflows differ from traditional LLM applications Explore core reasoning paradigms such as ReAct, Self-Refine, and Tree of Thoughts Design coordinated multi-agent systems for financial applications Work with frameworks like AutoGen, CrewAI, LlamaIndex, and LangChain Apply agentic frameworks to finance use cases such as analysis and portfolio insights Course Instructor(s) Hanane Dupouy is an AI researcher specializing in generative and agentic systems for finance. She combines expertise in machine learning, cognitive architectures, and financial modeling to build intelligent, reliable AI systems for real-world markets. Who is it for? This course is designed for AI engineers, data scientists, and quantitative analysts exploring automation in finance. It's also valuable for fintech developers and professionals seeking to integrate reasoning-based AI into financial workflows.

Notes:

OCLC-licensed vendor bibliographic record.

ISBN:

1-80611-045-8

OCLC:

1550493867