iPhoneAlle anzeigen
iPhone 11iPhone 11 ProiPhone 11 Pro MaxiPhone 12iPhone 12 ProiPhone 12 Pro MaxiPhone 12 miniiPhone 13iPhone 13 ProiPhone 13 Pro MaxiPhone 13 miniiPhone 14iPhone 14 PlusiPhone 14 ProiPhone 14 Pro MaxiPhone 15iPhone 15 PlusiPhone 15 ProiPhone 15 Pro MaxiPhone 16iPhone 16 PlusiPhone 16 ProiPhone 16 Pro MaxiPhone 16eiPhone 8iPhone 8 PlusiPhone SE 2020iPhone SE 2022iPhone XiPhone XRiPhone XSiPhone XS Max
Galaxy A-SerieAlle anzeigen
Galaxy A12Galaxy A13Galaxy A13 5GGalaxy A14Galaxy A15Galaxy A16Galaxy A17Galaxy A17 5GGalaxy A20eGalaxy A21Galaxy A22Galaxy A23Galaxy A24Galaxy A25Galaxy A26 5GGalaxy A32Galaxy A33Galaxy A34Galaxy A35Galaxy A36 5GGalaxy A37Galaxy A40Galaxy A41Galaxy A42Galaxy A50Galaxy A51Galaxy A52Galaxy A53Galaxy A54Galaxy A55Galaxy A56 5GGalaxy A57 5GGalaxy A70Galaxy A71Galaxy A72
Redmi SeriesAlle anzeigen
Redmi 10Redmi 13CRedmi 15 5GRedmi Note 10Redmi Note 10 ProRedmi Note 11Redmi Note 11 ProRedmi Note 11 Pro Plus 5GRedmi Note 11sRedmi Note 12Redmi Note 12 5GRedmi Note 12 ProRedmi Note 12 Pro 5GRedmi Note 12 Pro PlusRedmi Note 13Redmi Note 13 5GRedmi Note 13 ProRedmi Note 13 Pro PlusRedmi Note 14Redmi Note 14 Pro PlusRedmi Note 15Redmi Note 15 5GRedmi Note 15 ProRedmi Note 15 Pro 5GRedmi Note 15 Pro Plus 5GRedmi Note 8Redmi Note 8 ProRedmi Note 9Redmi Note 9 Pro
Derzeit nicht verfügbar
Handgeprüfte Gebrauchtware
Bis zu 50 % günstiger als neu
Der Umwelt zuliebe
Optischer Zustand
Beschreibung
Shape the future of AI by engineering agents that think, act, and thrive autonomously. This book connects Agentic AI innovation with production-grade implementation, equipping developers and engineers with the tools and frameworks to deploy AI agents across diverse domains. You’ll begin by reviewing the core concepts and principles of Agentic AI, focusing on the key components of autonomous agents… such as ReAct and RAG architectures, memory systems, tool orchestration, and interoperability standards. You’ll then advance into complex engineering patterns, covering persistent and self-improving agents, multi-agent coordination, and security-compliant deployment strategies—critical for building robust, scalable systems. Looking closely at next-generation capabilities such as cognitive architectures, swarm intelligence, neurosymbolic reasoning, and even quantum-enhanced decision-making, the book uses detailed case studies and complete implementations to help you move from prototypes to production. It also explains the design of agent marketplaces and economic ecosystems, laying the groundwork for interoperable, monetizable AI systems at scale. Domain-specific chapters show how these agents are already transforming finance, healthcare, retail/e-commerce, and scientific research industries. Whether you're building a clinical diagnosis assistant that improves with every patient case or deploying an e-commerce agent that personalizes the customer journey at scale, Practical Agentic AI is your go-to guide. What You Will Learn Design intelligent agents using advanced reasoning patterns, dynamic memory, and tool orchestration techniques. Build persistent, self-improving agents with capabilities like cross-session learning and safe self-modification. Deploy multi-agent systems at scale using orchestration frameworks, distributed architectures, and performance tuning strategies. Ensure security, ethics, and regulatory compliance in real-world agent deployments across domains. Who This Book Is For Data scientists and machine learning engineers with experience looking to build hands-on expertise in Agentic AI. It also serves software engineers aiming to integrate AI capabilities into their products and tech leads and solution architects exploring agentic automation for scalable, real-world applications. Dieses Produkt haben wir gerade leider nicht auf Lager.
Handgeprüfte Gebrauchtware
Bis zu 50 % günstiger als neu
Der Umwelt zuliebe
Technische Daten
Erscheinungsdatum
14.07.2026
Sprache
Englisch
EAN
9798868829086
Herausgeber
APRESS
Sonderedition
Nein
Autor
Kerem Tomak
Einbandart
Broschiert
Buch Untertitel
Design, Build, and Deploy Autonomous LLM Powered Systems
Schlagwörter
AI agents, Agentic AI, LangChain, Autogen, Large Language Models, CrewAI, RAG, Multi Agent Systems, Prompt Engineering
Thema-Inhalt
UYQ - Künstliche Intelligenz
UYQM - Maschinelles Lernen
UMX - Programmier- und Skriptsprachen, allgemein
Höhe
254 mm
Breite
17.8 cm
Hersteller: APRESS L.P., ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
-.-
★★★★★
☆☆☆☆☆ Leider noch keine Bewertungen
Leider noch keine Bewertungen
Sicher bei rebuy kaufen
Schreib die erste Bewertung für dieses Produkt!
Wenn du eine Bewertung für dieses Produkt schreibst, hilfst du allen Kund:innen, die noch überlegen, ob sie das Produkt kaufen wollen. Vielen Dank, dass du mitmachst!
Sicher bei rebuy kaufen