Agentic AI Systems & Autonomous Agents

Description

For years, we have treated Artificial Intelligence like a very smart
encyclopaedia. We ask a chatbot a question, and it gives us an answer. It is a
brilliant tool, but it is entirely passive. It gives you the recipe, but it leaves you
to do the actual cooking.
That era is ending. We are officially entering the age of Agentic AI—the leap
from machines that talk to machines that act.
Agentic AI Systems & Autonomous Agents is your definitive guide to
understanding, designing, and building this next generation of software. A
Large Language Model (LLM) is incredibly intelligent, but on its own, it is just
a brain in a jar. To make it useful in the real world, you have to give it hands to
use digital tools, a memory to learn from the past, and a structured architecture
to plan its future.
In this book, educator and software expert Atul Sah takes you step-by-step
through the exact engineering required to build these autonomous systems.
Moving past the internet hype, this book strips away the dense academic jargon
and focuses on practical, real-world application.
Inside, you will learn how to:
• Design the Core Architecture: Move beyond simple prompts and
master the Perceive-Plan-Act loop that drives all autonomous
decision-making.
• Build AI Memory: Stop your agents from forgetting their
instructions by implementing Short-Term context management and
Long-Term semantic memory using Vector Databases and RAG.
• Give Your AI Hands: Safely connect your agent to the outside world
by designing custom tools, integrating external APIs, and building
resilient error-handling protocols.
• Orchestrate Multi-Agent Teams: Move from single scripts to
digital organizations. Learn how to build and manage teams of
specialized AI workers that collaborate, debate, and delegate tasks to
solve massive problems.
• Enforce Safety and Control: Understand the critical importance of
human-in-the-loop approval gates, semantic guardrails, sandboxing,
and kill switches to ensure your autonomous systems never go rogue.
Drawing directly from his classroom experience at Patna University, Atul Sah
explains these cutting-edge concepts through clear logic, relatable analogies,
and practical case studies tailored specifically to the Indian technological and
regulatory landscape.
Whether you are a computer science student looking to grasp the future of the
industry, or a senior software developer tasked with deploying enterprisegrade AI into production, this book provides the exact blueprints you need.
Agentic AI Systems & Autonomous Agents will teach you how to stop writing
software that blindly follows rules, and start building intelligent digital
colleagues that solve problems.

About the Author

Atul Sah is a distinguished faculty member in the Department of Computer Application at Bihar National College, a constituent college of Patna University. He has dedicated his career to the art of teaching computer science and software development.
His teaching philosophy is cantered on building a strong foundational understanding, bridging the gap between abstract theory and tangible, real-world application. He is known for his ability to demystify complex programming concepts and for fostering an environment of curiosity and hands-on learning. While he specializes in core programming and database systems, his deep expertise extends to the bleeding edge of technology; he is the author of seven other well-received books on Artificial Intelligence, Machine Learning, and programming. He is particularly passionate about making these advanced subjects accessible to students from all backgrounds.
This book, Agentic AI Systems & Autonomous Agents, is a direct extension of his classroom experience and his ongoing research. It was born from a desire to create a single, comprehensive resource that encapsulates his proven teaching methods—a guide that is both academically rigorous and intensely practical, designed to serve as a trusted companion for students, developers, and self-learners alike.
Atul Sah holds a Master's degree in Computer Application and continues to be an active voice in the academic community. He resides in Patna, India, where he continues to inspire the next generation of software developers.
His teaching philosophy is cantered on building a strong foundational understanding, bridging the gap between abstract theory and tangible, real-world application. He is known for his ability to demystify complex programming concepts and for fostering an environment of curiosity and hands-on learning. While he specializes in core programming and database systems, his deep expertise extends to the bleeding edge of technology; he is the author of seven other well-received books on Artificial Intelligence, Machine Learning, and programming. He is particularly passionate about making these advanced subjects accessible to students from all backgrounds.
This book, Agentic AI Systems & Autonomous Agents, is a direct extension of his classroom experience and his ongoing research. It was born from a desire to create a single, comprehensive resource that encapsulates his proven teaching methods—a guide that is both academically rigorous and intensely practical, designed to serve as a trusted companion for students, developers, and self-learners alike.
Atul Sah holds a Master's degree in Computer Application and continues to be an active voice in the academic community. He resides in Patna, India, where he continues to inspire the next generation of software developers.

Book Details

ISBN: 9789360398927

Number of Pages: 324

Dimensions: 6.00"x9.00"

Interior Pages: B&W

Binding: Paperback (Perfect Binding)

Availability: In Stock (Print on Demand)

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