Mastering AI Agent Engineering Hands-on Using Python: Design, Build, and Deploy Autonomous Systems - Front Cover

Mastering AI Agent Engineering Hands-on Using Python: Design, Build, and Deploy Autonomous Systems - Back Cover

Mastering AI Agent Engineering Hands-on Using Python: Design, Build, and Deploy Autonomous Systems

Author(s): Dr. S. Umarani Ms. Vineetha B Dr. Jayanthi Kamalasekaran Ms. Prachi Amol Gadhikar

753

Language:
English

ISBN13:
9789369261697

ISBN10:
9369261699

Format:
Paperback

Trim:
8.5x11

Pages:
367

Publication date:
23-Jul-2026

Available, Ships in 3-5 days
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Agentic AI and Autonomous Systems Engineering is a practical and comprehensive guide to designing, building, and evaluating intelligent AI agents. Covering agent architecture, memory, planning, reasoning, tool use, multi-agent systems, prompt engineering, and ethical considerations, the book combines clear theoretical explanations with hands-on Python and Google Colab experiments. Readers will learn how autonomous agents perceive, plan, act, and reflect while exploring modern agent frameworks, evaluation techniques, and real-world applications. Designed for students, educators, researchers, and software professionals, this book equips readers with the knowledge and practical skills needed to develop next-generation autonomous AI systems.

Dr. S. Umarani

Dr. S. Umarani, Ph.D. is a Professor in the Department of M.Tech. Computer Science and Engineering (5-Year Integrated) at Erode Sengunthar Engineering College, Tamil Nadu, India. With nearly 20 years of experience in teaching, research, and academic administration, she specializes in Artificial Intelligence, Machine Learning, Medical Image Processing, Cybersecurity, IoT, Blockchain, and Wireless Sensor Networks.

Ms. Vineetha B

Ms. Vineetha B is an Assistant Professor in the Department of Computer Science & Engineering, School of Engineering, Presidency University, Bengaluru. She is pursuing a Ph.D. in Machine Learning and Cybersecurity and has around eight years of teaching experience. Her research interests include Machine Learning, Cybersecurity, Cryptography, Generative AI, Algorithm Ethics, and Computer Networks.

Dr. Jayanthi Kamalasekaran

Dr. Jayanthi E. Kamalasekaran, Ph.D., is an Associate Professor at Presidency University, Bangalore, with nearly three decades of experience in teaching, research, and academic leadership. Her expertise includes Cyber Security, Machine Learning, and MANETs. She has published extensively, holds a patent, and actively contributes to innovation and scholarly excellence.

Ms. Prachi Amol Gadhikar

Ms. Prachi Amol Gadhikar is an Assistant Professor in the School of Computer Science and Engineering at Presidency University, Bengaluru, India, and is pursuing a Ph.D. in Computer Science and Engineering. With over eight years of academic experience, she has contributed to teaching, student mentoring, curriculum development, and research.