£55.00

Production-Grade Agentic AI: Architecture, Infrastructure, and Deployment Patterns for Autonomous AI Systems: From brittle workflows to deployable autonomous systems

AI & Machine Learning

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Description

Most AI systems today fail in production. They chain prompts together and call it "agentic." They rely on a dozen stitched-together tools. They collapse under real-world pressure. The gap between demo and production remains enormous—not because the technology isn't ready, but because the infrastructure doesn't exist. This book bridges that gap. It provides a comprehensive guide to the architecture, design principles, and infrastructure patterns needed to build autonomous AI systems that actually work in production. Moving beyond vendor-specific tutorials and framework documentation, you'll understand the universal principles that make agentic systems reliable, observable, and deployable at scale. Learn how to: Understand what makes systems truly "agentic"—the three pillars that distinguish autonomous agents from chatbots with tool access Design production-ready memory systems with multi-tier architecture, semantic search, and automatic lifecycle management Build intelligent orchestration that decomposes complex goals, coordinates multi-agent systems, and adapts when things fail Implement comprehensive observability including reasoning transparency, cost attribution, and compliance-ready audit trails Deploy with confidence using declarative configurations, automatic failover, horizontal scaling, and instant rollback Avoid vendor lock-in through multi-model infrastructure with intelligent routing and automatic resilience Move from architecture to implementation with real-world examples of production agentic applications

Product Specifications

Format: paperback
ASIN: 191930780X
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 26 November 2025
Listed Since: 10 October 2025

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Production-Grade Agentic AI: Architecture, Infrastructure, and Deployment Patterns for Autonomous AI Systems: From brittle workflows to deployable autonomous systems

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