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Handgeprüfte Gebrauchtware
Bis zu 50 % günstiger als neu
21 Tage Widerrufsrecht
AI Agents in Business
Shailendra Kadre, Ankit A Jain, Nishant Kumar, Krishna Durbha (Broschiert, Englisch)
Optischer Zustand
Beschreibung
AI agents are redefining how modern businesses work—shifting from simple chatbots to digital workers capable of reasoning, planning, using tools, and coordinating in multi step workflows. This book is a hands on guide to building these systems using the two most powerful open source frameworks ie LangChain and AutoGen. Written for developers, analysts, and technical managers, the book shows how to… turn large language models into practical, reliable agents that deliver measurable business value. Across nine structured chapters, the book moves from foundations to production grade agent deployments. Part I introduces agent theory, decision frameworks, and core tools through a rapid, code first curriculum. You learn LangChain essentials—chains, prompts, RAG, routing, fallback logic—and AutoGen fundamentals such as multi agent chats, role assignments, tool execution, and error handling. Part II dives into building real systems: ReAct agents, custom tool suites, retrieval augmented agents, multi agent AutoGen teams, approval workflows, and sequential pipelines for research, writing, and analysis. Every chapter alternates between short explanations and extensive hands on coding, with ready to run Jupyter notebooks that work in Colab or Binder. You follow complete implementations—from “Hello Agent” to full multi agent solutions—using the exact standards companies expect today, including LCEL, LangSmith, and modern API patterns. Designed for real work rather than theory, this book gives you the skills to build, scale, and deploy AI agents that solve customer support, research, supply chain, and automation challenges. What you will learn: Build practical AI agents with LangChain and AutoGen, from simple chains to multi agent teams for real business tasks. • Deploy production ready agents with error handling, LangSmith monitoring, FastAPI endpoints, Docker, and runnable notebooks. • Master core patterns such as LCEL chains, ReAct reasoning, tool use, group chats, human in loop steps, RAG pipelines, and cost efficient scaling. • Apply agents to real business cases—including supply chain optimization, automated research, and ticket classification—with portfolio ready projects. Who this book is for: The book is written for developers, data scientists, and AI/ML practitioners who want to build practical agentic AI systems using LangChain and AutoGen. It also serves product managers, solution architects, and engineering leads responsible for bringing agent workflows into real business environments. Business analysts and operations professionals looking to automate customer support, research, and supply chain tasks will also benefit. Dieses Produkt haben wir gerade leider nicht auf Lager.
Handgeprüfte Gebrauchtware
Bis zu 50 % günstiger als neu
21 Tage Widerrufsrecht
Technische Daten
Erscheinungsdatum
13.06.2027
Sprache
Englisch
EAN
9798868833700
Herausgeber
APRESS
Sonderedition
Nein
Autor
Shailendra Kadre, Ankit A Jain, Nishant Kumar, Krishna Durbha
Einbandart
Broschiert
Buch Untertitel
Mastering LangChain and AutoGen
Schlagwörter
AutoGen multi-agent systems, AI agents Python code, ReAct agent implementation, Multi-agent workflows, RAG agents LangChain, Production AI agents, Agentic AI frameworks, LangChain agents tutorial
Thema-Inhalt
UYQ - Künstliche Intelligenz
UYQM - Maschinelles Lernen
UMX - Programmier- und Skriptsprachen, allgemein
Höhe
254 mm
Breite
17.8 cm
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Transparenz & Sicherheit
Hersteller: Springer Nature Customer Service Center GmbH, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com
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