Building agentic AI systems : create intelligent, autonomous AI agents that can reason, plan, and adapt
Material type:
TextPublication details: Birmingham : Packt Publishing, ©2025Description: xxiv, 267 p. : ill ; 23 cmISBN: - 9781803238753
- 006.3 BIS-B
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IIITD General Stacks | Computer Science and Engineering | 006.3 BIS-B (Browse shelf(Opens below)) | Checked out | 20/03/2026 | 013762 |
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| 006.3 BAD-A Artificial intelligence : a very short introduction | 006.3 BEN-A The AI con : how to fight big tech's hype and create the future we want | 006.3 BER-D Data mining techniques : | 006.3 BIS-B Building agentic AI systems : create intelligent, autonomous AI agents that can reason, plan, and adapt | 006.3 BOS-D Deep utopia : life and meaning in a solved world | 006.3 BRA-S Software agents | 006.3 BRO-P Possible minds : |
Included indexes.
Part 1: Foundations of Generative AI and Agentic Systems
Part 2: Designing and Implementing Generative AI-Based Agents
Part 3: Trust, Safety, Ethics, and Applications
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.

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