Agentic AI Systems by Patrick Andrei (PDF)(Nonfiction)

Agentic AI Systems by Patrick Andrei (PDF)(Nonfiction)
Author: Patrick Andrei, Anjanava Biswas, Wrick Talukdar, Matthew R. Scott, Dr. Alex Acero
Full Title: Building Agentic AI Systems: Create intelligent, autonomous AI agents that can reason, plan, and adapt
Release Year: 2025
Page Count: 292 Pages
Genres: Artificial Intelligence, Programming, Machine Learning

This comprehensive guide offers unparalleled insights into the future of AI autonomy, focusing on 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, the book delves into the fundamentals of agentic systems, explaining how AI agents operate independently, make decisions, and utilize tools to achieve complex tasks. It begins by exploring the foundations of GenAI and agentic architectures, then moves into decision-making frameworks, self-improvement mechanisms, and adaptability. Advanced design techniques such as multi-step planning, tool integration, and the coordinator, worker, and delegator approach for scalable AI agents are thoroughly covered. Beyond design, the book addresses crucial aspects of trust, safety, and ethics, ensuring AI systems align with human values and operate transparently. Real-world applications are highlighted to illustrate how agentic AI is transforming various industries, including automation, finance, and healthcare. With deep insights into AI frameworks, prompt engineering, and multi-agent collaboration, this resource equips readers to build next-generation adaptive, scalable AI agents that go beyond simple task execution and act with minimal human intervention. It is an ideal resource for AI developers, machine learning engineers, and software architects seeking to advance their skills in building intelligent, autonomous agents.