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Books Anjanava Biswas and Wrick TalukdarUpdated 2025-05-19

Building Agentic AI Systems

Discover how to design and implement intelligent, autonomous agentic systems with practical frameworks, real-world examples, and hands-on AI development guidance.

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Building Agentic Systems is a comprehensive, expert-authored guide to designing and deploying intelligent, autonomous AI agents using large language models and state-of-the-art generative AI. The book introduces the foundational concepts of agentic systems, detailing how to architect agents capable of planning, reasoning, reflection, and multi-step tool use. It highlights the powerful coordinator, worker, and delegator approach for orchestrating complex, scalable AI systems, and delves into advanced techniques that enable agents to operate with minimal human intervention. Covering crucial topics such as agent introspection, adaptability, collaboration, and multi-agent cooperation, the book also addresses the importance of trust, transparency, safety, and ethical considerations in real-world deployments. Numerous practical examples and case studies illustrate the transformative impact of agentic AI across industries like automation, finance, and healthcare. Ideal for AI developers, machine learning engineers, and software architects, this book serves as both a practical manual and a visionary roadmap for building the next generation of autonomous AI agents that are reliable, ethical, and aligned with human values.

English

1st Edition

Paperback and Kindle

Packt Publishing

Publication date: 21 April 2025

288 Pages

ISBN-10: 1803238755

ISBN-13: 978-1803238753

What you get

01

Comprehensive Agentic Architecture Frameworks

Covers foundational and advanced techniques for designing autonomous AI agents using generative AI, including the coordinator, worker, and delegator approach for scalable orchestration.

02

Advanced Decision-Making and Adaptability

Explores mechanisms like reflection, introspection, planning, tool use, and collaboration—enabling agents to analyze, adapt, and improvise in dynamic environments.

03

Trust, Safety, and Ethics Guidance

Provides practical strategies to enhance transparency, accountability, and reliability, ensuring agents align with human values and ethical standards.

04

Real-World Applications and Expert Insights

Features practical case studies and industry examples, equipping readers with proven methods for deploying agentic AI in sectors such as automation, healthcare, and finance.

Benefits to reading Building Agentic Systems include:

Master Advanced Agentic AI Techniques: Gain a deep understanding of building intelligent, autonomous AI agents using generative large language models and orchestration frameworks.

Solve Complex Real-World Problems: Learn how to design AI agents that plan, reason, reflect, collaborate, and automate multi-step processes across industries.

Build Safe and Ethical AI Solutions: Understand best practices for ensuring trust, transparency, and ethical behavior in your AI systems, reducing risk and enhancing reliability.

Stay on the Cutting Edge: Get insights from industry experts and real-world case studies, helping you confidently deploy scalable agentic AI solutions in rapidly evolving technological landscapes.

Enhance Professional Skills: Strengthen your expertise as an AI developer, machine learning engineer, or software architect, giving you a career advantage in the fast-growing field of autonomous AI.

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