---
title: "Fayssal El Mofatiche og Hanane Dupouy Building AI Agents for Finance"
ean: "9781837022298"
brand: "Fayssal El Mofatiche og Hanane Dupouy"
category: "Medier > Bøger > Trykte bøger"
price_min: 639
price_max: 639
currency: DKK
vendor_count: 1
in_stock: true
url: https://pricetracker.dk/p/9781837022298/building-ai-agents-for-finance
last_checked: 2026-10-21
---

# Fayssal El Mofatiche og Hanane Dupouy Building AI Agents for Finance

EAN 9781837022298 · Mærke: Fayssal El Mofatiche og Hanane Dupouy · Kategori: Medier > Bøger > Trykte bøger

Sammenlign priser på Fayssal El Mofatiche og Hanane Dupouy Building AI Agents for Finance fra 1 forhandler. Billigste pris nu: 639 kr hos Saxo DK. Se aktuelle priser og køb hos den billigste forhandler på https://pricetracker.dk/p/9781837022298/building-ai-agents-for-finance

## Priser
- **Billigste pris nu:** 639 kr hos Saxo DK
- **Prisspænd:** 639 kr – 639 kr på tværs af 1 forhandler

## Forhandlere
| Forhandler | Pris | Levering |
|---|---|---|
| Saxo DK | 639 kr | 5-7 hverdage |

## Om produktet
Beskrivelse fra forhandleren Saxo DK:

> Go beyond simple LLM demos and build production-ready finance AI agents with Python, Claude, agentic RAG, multi-agent architectures, evaluation, guardrails, observability, and operations balancing efficiency, reliability, and cost Free with your book: DRM-free PDF version + access to Packt's next-gen Reader* Key Features: - Build finance-focused agents with Python, Claude, OpenAI models, RAG, and tool use - Apply advanced reasoning and multi-agent architectures to financial workflows - Implement, evaluate, observe, and govern agents, with a focus on reliability and robustness Book Description: AI agents are rapidly changing how financial systems analyze information, make decisions, and automate complex workflows. While many resources explain agentic AI concepts, few show how to design and deploy AI agents that work reliably in finance. This book fills that gap. You will start by learning what AI agents are, how they differ from non-agentic systems, and when agentic architectures are appropriate. You'll use Python with Claude and OpenAI models across hands-on labs covering design patterns, memory, agentic RAG, framework selection, reasoning paradigms such as ReAct, reflection, self-consistency, and Language Agent Tree Search, and multi-agent collaboration. You'll then take a deep dive into financial use cases, including fundamental analysis, deep research, trading, insurance, and compliance, using technologies such as LangGraph, Claude Skills, the OpenAI Agents SDK, and LlamaIndex. You will learn to evaluate agent behavior, calibrate LLM judges, detect drift, and produce model risk reports. Finally, you will focus on operationalizing AI agents responsibly, covering the agent harness and execution loop, observability and tracing, deployment and versioning, guardrails, and governance with human oversight. By the end, you'll be able to design, evaluate, and deploy financial AI agents that deliver real business value. *Email sign-up and proof of purchase required What You Will Learn: - Master core AI agent design patterns and apply them to finance - Compare major AI agentic frameworks and learn how to select the right one - Explore reasoning paradigms used in agentic workflows - Design multi-agent orchestration using various architectural styles - Build financial use cases with hands-on Python labs - Evaluate and test AI agent behavior effectively - Implement guardrails, tracing, and observability - Apply AI agents across fundamental analysis, trading, research, and compliance Who this book is for: This book is for finance professionals who want to understand and apply AI agents, and for developers and ML practitioners who want to build agentic systems for financial use cases. Financial analysts, quantitative researchers, and technology teams at financial institutions will find working blueprints they can adapt to their own workflows. A working knowledge of Python is required to get the most out of the hands-on labs. No prior experience with AI agents

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Kilde: PriceTracker. Fuld side med interaktiv prishistorik og købslinks: https://pricetracker.dk/p/9781837022298/building-ai-agents-for-finance
Priserne er sidst kontrolleret 2026-10-21.