Panda akshay (3 Ergebnisse)
- Softcover
Anbieter: PBShop.store US, Wood Dale, IL, USAPBShop.store US
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 45,33
Versand gratisVersand innerhalb von USAAnzahl: Mehr als 20 verfügbar
PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes KönigreichPBShop.store UK
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 42,38
EUR 4,86 VersandVersand von Vereinigtes Königreich nach USAAnzahl: Mehr als 20 verfügbar
PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 58,00
EUR 62,49 VersandVersand von Deutschland nach USAAnzahl: 2 verfügbar
Taschenbuch. Zustand: Neu. Neuware - Most AI books teach prompts.This book teaches systemsAI agents are no longer simple chatbots. Modern AI systems can reason, plan, use tools, collaborate with other agents, and execute complex workflows with minimal human intervention. Building these systems requires a new engineering discipli…ne-one that combines software architecture, orchestration, memory design, reliability engineering, and autonomous decision-making.What Readers Learn- In this book you'll learn: - What makes a system truly agentic- Agent architecture design patterns- Memory systems and retrieval architectures- Tool-using AI agents- Multi-agent orchestration strategies- Reliability, observability, and safety engineering- Production deployment patterns- Real-world automation blueprints- Research, content, business, productivity, and sales agent systemsWho This Book Is For- This book is ideal for: - Software Engineers- AI Engineers- Architects- Technical Founders- Product Leaders- AI ConsultantsWhether you're building your first autonomous workflow or designing enterprise-scale multi-agent systems, this book provides the practical frameworks, implementation patterns, and production lessons needed to build reliable AI agent systems that work beyond the demo.
