Building Agentic AI Systems: Create intelligent, autonomous AI agents that can reason, plan, and adapt

Anjanava Biswas

Wrick Talukdar

$54.99

4 (1 Ratings)

Paperback Apr 2025 288 pages 1st Edition

Anjanava Biswas

Wrick Talukdar

$54.99

4 (1 Ratings)

Paperback Apr 2025 288 pages 1st Edition

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Key benefits

Understand the foundations and advanced techniques of building intelligent, autonomous AI agents
Learn advanced techniques for reflection, introspection, tool use, planning, and collaboration in agentic systems
Explore crucial aspects of trust, safety, and ethics in AI agent development and applications
Purchase of the print or Kindle book includes a free PDF eBook

Description

Gain unparalleled insights into the future of AI autonomy with this comprehensive guide to designing and deploying autonomous AI agents that leverage generative AI (GenAI) to plan, reason, and act. Written by industry-leading AI architects and recognized experts shaping global AI standards and building real-world enterprise AI solutions, it explores the fundamentals of agentic systems, detailing how AI agents operate independently, make decisions, and leverage tools to accomplish complex tasks. Starting with the foundations of GenAI and agentic architectures, you’ll explore decision-making frameworks, self-improvement mechanisms, and adaptability. The book covers advanced design techniques, such as multi-step planning, tool integration, and the coordinator, worker, and delegator approach for scalable AI agents. Beyond design, it addresses critical aspects of trust, safety, and ethics, ensuring AI systems align with human values and operate transparently. Real-world applications illustrate how agentic AI transforms industries such as automation, finance, and healthcare. With deep insights into AI frameworks, prompt engineering, and multi-agent collaboration, this book equips you to build next-generation adaptive, scalable AI agents that go beyond simple task execution and act with minimal human intervention.

Who is this book for?

This book is ideal for AI developers, machine learning engineers, and software architects who want to advance their skills in building intelligent, autonomous agents. It's perfect for professionals with a strong foundation in machine learning and programming, particularly those familiar with Python and large language models. While prior experience with generative AI is beneficial, the book covers foundational concepts for those new to agentic systems.

What you will learn

Master the core principles of GenAI and agentic systems
Understand how AI agents operate, reason, and adapt in dynamic environments
Enable AI agents to analyze their own actions and improvise
Implement systems where AI agents can leverage external tools and plan complex tasks
Apply methods to enhance transparency, accountability, and reliability in AI
Explore real-world implementations of AI agents across industries

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What do you get with Print?

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Shipping Details

USA:

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
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Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

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India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

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Unfortunately, due to several restrictions, we are unable to ship to the following countries:

Afghanistan
American Samoa
Belarus
Brunei Darussalam
Central African Republic
The Democratic Republic of Congo
Eritrea
Guinea-bissau
Iran
Lebanon
Libiya Arab Jamahriya
Somalia
Sudan
Russian Federation
Syrian Arab Republic
Ukraine
Venezuela

Seraf Jun 09, 2025

A very up-to-date book, but missing all about MCPs. A great read as agentic development is all the hype for the moment. Not an easy task to integrate all dictated in the book, but the information is rich in examples to use. A background in ML and AI helps a lot to grasp the book.

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Building Agentic AI Systems: Create intelligent, autonomous AI agents that can reason, plan, and adapt

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