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Architecting Agentic AI: Fundamentals & Core Patterns: Practical Design Patterns for Building Autonomous Intelligent Systems Across Industries (The Agentic AI Handbook) - Hardcover
Book 1 of 17: The Agentic AI Handbook
Synopsis
Volume 1 of The Agentic AI Handbook. Architecting Agentic AI: Fundamentals & Core Patterns is a rigorous, practitioner-grade guide to the foundational building blocks of production agentic systems — not demos. It moves from first principles to battle-tested design: the core agent loop, memory and context persistence, tool invocation and external integration, retrieval and context engineering, and prompt chaining and instruction trees.
Written for AI architects, ML engineers, and technical leaders, every chapter pairs concept with implementation — annotated code, reference architectures, and decision frameworks grounded in the latest models (Gemini 3.x, GPT-5.x, Claude 4.x, Llama 4). You will learn how to choose between long-context and retrieval, structure multi-step reasoning, wire agents to real tools and data, and design the core patterns every production agentic system is built from — independent of any single vendor or framework.
This is the foundational half of the series' architecture spine; Volume 2 continues with multi-agent architectures, governance, and frameworks, and every industry volume that follows builds on the patterns established here.
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Architecting Agentic AI Fundamentals & Core Patterns (Hardcover)
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Hardcover. Condition: new. Hardcover. Volume 1 of The Agentic AI Handbook. As the industry shifts from reactive prompts to goal-seeking autonomous systems, software architects, AI engineers, and technical leaders need a rigorous foundation in agentic design. This volume explores the anatomy of an agent and the complete lifecycle from sensing and planning to acting and reflecting. Readers will discover exactly why agentic AI is necessary now, how to evaluate the 2026 landscape of reasoning models, and when to deploy agents versus classic machine learning approaches. Moving beyond basic models, this book details the fundamental patterns required to build robust systems. You will learn to design single-task chains, instruction trees, and tree-of-thought workflows while implementing critical safety guardrails and human-in-the-loop controls. The text provides deep dives into tool invocation, function calling, and API integration, emphasizing transactional safety, retries, and rollback mechanisms. It also tackles the complexities of long-horizon task continuity, breaking down the differences between episodic and semantic memory, profile stores, and checkpointing strategies. Finally, the volume addresses the critical challenge of context engineering and retrieval. Engineers will master the tradeoffs between long-context models and retrieval systems, exploring RAG, GraphRAG, and hybrid approaches. By mastering vector stores, context compression, and prompt caching, you will be equipped to architect self-repairing, highly grounded agentic systems. A practitioner's guide to the core building blocks of production-grade agentic AI systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798906040329
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Architecting Agentic AI: Fundamentals & Core Patterns: Practical Design Patterns for Building Autonomous Intelligent Systems Across Industries (The Agentic AI Handbook)
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Architecting Agentic AI Fundamentals and Core Patterns
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Architecting Agentic AI Fundamentals & Core Patterns (Hardcover)
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Hardcover. Condition: new. Hardcover. Volume 1 of The Agentic AI Handbook. As the industry shifts from reactive prompts to goal-seeking autonomous systems, software architects, AI engineers, and technical leaders need a rigorous foundation in agentic design. This volume explores the anatomy of an agent and the complete lifecycle from sensing and planning to acting and reflecting. Readers will discover exactly why agentic AI is necessary now, how to evaluate the 2026 landscape of reasoning models, and when to deploy agents versus classic machine learning approaches. Moving beyond basic models, this book details the fundamental patterns required to build robust systems. You will learn to design single-task chains, instruction trees, and tree-of-thought workflows while implementing critical safety guardrails and human-in-the-loop controls. The text provides deep dives into tool invocation, function calling, and API integration, emphasizing transactional safety, retries, and rollback mechanisms. It also tackles the complexities of long-horizon task continuity, breaking down the differences between episodic and semantic memory, profile stores, and checkpointing strategies. Finally, the volume addresses the critical challenge of context engineering and retrieval. Engineers will master the tradeoffs between long-context models and retrieval systems, exploring RAG, GraphRAG, and hybrid approaches. By mastering vector stores, context compression, and prompt caching, you will be equipped to architect self-repairing, highly grounded agentic systems. A practitioner's guide to the core building blocks of production-grade agentic AI systems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798906040329
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Architecting Agentic AI Fundamentals & Core Patterns (Hardcover)
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Hardcover. Condition: new. Hardcover. Volume 1 of The Agentic AI Handbook. As the industry shifts from reactive prompts to goal-seeking autonomous systems, software architects, AI engineers, and technical leaders need a rigorous foundation in agentic design. This volume explores the anatomy of an agent and the complete lifecycle from sensing and planning to acting and reflecting. Readers will discover exactly why agentic AI is necessary now, how to evaluate the 2026 landscape of reasoning models, and when to deploy agents versus classic machine learning approaches. Moving beyond basic models, this book details the fundamental patterns required to build robust systems. You will learn to design single-task chains, instruction trees, and tree-of-thought workflows while implementing critical safety guardrails and human-in-the-loop controls. The text provides deep dives into tool invocation, function calling, and API integration, emphasizing transactional safety, retries, and rollback mechanisms. It also tackles the complexities of long-horizon task continuity, breaking down the differences between episodic and semantic memory, profile stores, and checkpointing strategies. Finally, the volume addresses the critical challenge of context engineering and retrieval. Engineers will master the tradeoffs between long-context models and retrieval systems, exploring RAG, GraphRAG, and hybrid approaches. By mastering vector stores, context compression, and prompt caching, you will be equipped to architect self-repairing, highly grounded agentic systems. A practitioner's guide to the core building blocks of production-grade agentic AI systems. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9798906040329
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Architecting Agentic AI Fundamentals & Core Patterns | A Comprehensive Hands-On Guide to Agentic AI Frameworks, Multi-Agent Reasoning, and Scalable Autonomous Workflows
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Buch. Condition: Neu. Architecting Agentic AI Fundamentals & Core Patterns | A Comprehensive Hands-On Guide to Agentic AI Frameworks, Multi-Agent Reasoning, and Scalable Autonomous Workflows | Tayeb Ayat | Buch | The Agentic AI Handbook | Englisch | 2026 | Soft Flourish | EAN 9798906040329 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 136342214
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Architecting Agentic AI Fundamentals & Core Patterns : A Comprehensive Hands-On Guide to Agentic AI Frameworks, Multi-Agent Reasoning, and Scalable Autonomous Workflows
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Volume 1 of The Agentic AI Handbook. As the industry shifts from reactive prompts to goal-seeking autonomous systems, software architects, AI engineers, and technical leaders need a rigorous foundation in agentic design. This volume explores the anatomy of an agent and the complete lifecycle from sensing and planning to acting and reflecting. Readers will discover exactly why agentic AI is necessary now, how to evaluate the 2026 landscape of reasoning models, and when to deploy agents versus classic machine learning approaches. Moving beyond basic models, this book details the fundamental patterns required to build robust systems. You will learn to design single-task chains, instruction trees, and tree-of-thought workflows while implementing critical safety guardrails and human-in-the-loop controls. The text provides deep dives into tool invocation, function calling, and API integration, emphasizing transactional safety, retries, and rollback mechanisms. It also tackles the complexities of long-horizon task continuity, breaking down the differences between episodic and semantic memory, profile stores, and checkpointing strategies. Finally, the volume addresses the critical challenge of context engineering and retrieval. Engineers will master the tradeoffs between long-context models and retrieval systems, exploring RAG, GraphRAG, and hybrid approaches. By mastering vector stores, context compression, and prompt caching, you will be equipped to architect self-repairing, highly grounded agentic systems. Seller Inventory # 9798906040329
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