SKU/Artículo: AMZ-B0GHPKTLHC
Mastering .NET AI Agents: Building Local-First Autonomous Systems for Real-World Applications
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.59 kg
0.59 kg
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Sí
Sí
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Nuevo
Nuevo
Producto de:
Amazon
Amazon
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USA
USA
Sobre este producto
- Mastering .NET AI Agents: Building Local-First Autonomous Systems for Real-World ApplicationsThe era of autonomous software has begun—and this is the definitive guide for developers who want to build the next generation of intelligent, self-directed .NET systems. This book shows you exactly how to design, implement, test, deploy, and govern AI-powered agents with the same engineering rigor, safety guarantees, and operational reliability as any mission-critical application.Unlike high-level AI books that stop at concepts, this one is engineered for practitioners. Every chapter takes you deep into real implementations with fully worked examples, concrete .NET patterns, production-ready architectures, and extensive code walkthroughs. You’ll learn not only how agents think, plan, and act, but how to build them correctly—with structured reasoning loops, robust memory systems, deterministic tests, observability pipelines, and strong safety boundaries.What sets this book apart is its modern, local-first approach. You will learn how to run high-performance inference on your own hardware using GGUF models, Ollama, ONNX, DirectML, or GPUs, and how to combine local speed with cloud resilience through hybrid execution strategies. This empowers you to build secure, low-latency agent systems that avoid the cost, privacy risk, and dependency burden of fully cloud-hosted AI.You will master essential topics such as:Designing autonomous reasoning, planning, and self-correction systemsBuilding safe tool interfaces, modular skill libraries, and controlled action boundariesImplementing short-term and long-term memory pipelines using vector storesInstrumenting agents with full observability—tracing, timelines, metrics, and replayTesting beyond unit tests: adversarial, deterministic, simulation, chaos, and drift testingArchitecting microservices, orchestrators, and multi-agent systems at scaleEnforcing capabilities, permissions, and safety policies across environmentsDeploying agents using containers, Kubernetes, and hybrid local-cloud runtimesManaging cost, drift, multi-tenant isolation, governance, and production rolloutsBy the end of the book, you’ll have a complete framework for building autonomous .NET agents that are fast, secure, transparent, reliable, cost-efficient, and ready for demanding real-world workloads.If you are a .NET developer, architect, engineering manager, or AI-curious technologist who wants to build not just smart software but self-directed, trustworthy, and production-ready systems, this book is your essential guide.This is the future of software—and now you have the blueprint.
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AR$45.733
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AR$31.540
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