{"product_id":"building-agentic-ai-workflows-9798241515667","title":"Building Agentic AI Workflows","description":"\u003cp\u003e • Author(s): Muzzammil Khan\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Artificial Intelligence - Generative AI\u003c\/p\u003e\u003cp\u003eThe last decade of AI has been shaped primarily by passive generative models-systems that excel at producing outputs when asked, but that do not \u003ci\u003einitiate\u003c\/i\u003e, \u003ci\u003eplan\u003c\/i\u003e, or \u003ci\u003eact\u003c\/i\u003e in the world. As organizations increasingly need intelligent systems capable of autonomy, adaptation, and goal-driven behavior, a new paradigm has emerged: \u003cb\u003eAgentic AI\u003c\/b\u003e. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eAgentic AI elevates models from static tools to \u003cb\u003eactive, decision-making entities\u003c\/b\u003e that perceive, reason, act, and learn continuously. Instead of generating content on demand, Agentic AI systems operate as \u003cb\u003eautonomous software components\u003c\/b\u003e-capable of coordinating workflows, manipulating tools, adapting to environments, and collaborating with other agents or humans. \u003cp\u003e\u003c\/p\u003e\u003ci\u003e\u003cb\u003eBuilding Agentic AI Workflows\u003c\/b\u003e\u003c\/i\u003e attempts to document the full landscape of modern agentic systems - from cognitive foundations and memory architectures to multi-agent orchestration, tool-use pipelines, reliability engineering, and enterprise-scale deployment. \u003cp\u003e\u003c\/p\u003eIt has a simple goal: provide a clear, engineering-ready guide to designing, deploying, and scaling agentic systems - complete with flow diagrams, real-world examples, and hands-on code. It provides the necessary tools to build the next generation of adaptive AI systems. \u003cp\u003e\u003c\/p\u003eIt is divided in 2 parts. Part-I focuses on the \u003cb\u003ecognitive, mathematical, and architectural principles\u003c\/b\u003e that define what an AI agent \u003ci\u003eis\u003c\/i\u003e and how it behaves within an environment. It dives deep into topics like Intro to Agentic AI \u0026amp; its Computational Foundations, Modular Agent Design, Building the Agentic AI Stack, Python Engineering Toolkit, and Agent Memory \u0026amp; Learning. Part-II expands from theory into \u003cb\u003ereal-world engineering\u003c\/b\u003e, where agents operate as part of larger, structured workflows. It dives deep into topics like Multi-agent collaboration \u0026amp; communication protocols; Workflow orchestration \u0026amp; role delegation; Action pipelines, Agentic evaluation, metrics, and safety constraints; Infrastructure, APIs, and deployment at enterprise scale; and production-ready architectures.","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47592726200471,"sku":"9798241515667","price":3457.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798241515667.webp?v=1774979055","url":"https:\/\/atlanticbooks.com\/products\/building-agentic-ai-workflows-9798241515667","provider":"Atlantic Books","version":"1.0","type":"link"}