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AI Agents Mastery

Design, Build, Deploy, and Scale Autonomous AI Agents for Real-World Applications

AI Agents Mastery
Mohammad Kamrul Hassan

Build AI agents that go beyond conversation.

_ AI Agents Mastery_ is a practical guide to designing, building, deploying, and scaling autonomous AI agents for real-world applications.

Learn how to combine LLMs with tools, APIs, workflows, memory, state, retrieval, automation, security, monitoring, and human oversight to create capable and reliable AI agent systems.

From the fundamentals of agent architecture to production deployment and responsible autonomy, this book provides an end-to-end framework for turning AI-agent ideas into practical applications.

Learn the principles. Build the systems. Deploy with confidence.

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About the Book

AI Agents Mastery: Design, Build, Deploy, and Scale Autonomous AI Agents for Real-World Applications is a practical guide to understanding and engineering modern AI agents.

AI agents represent a shift from traditional software and simple AI applications toward systems capable of interpreting goals, reasoning through tasks, using tools, interacting with APIs and external systems, maintaining context, and executing multi-step workflows.

This book takes a practical, end-to-end approach to agent engineering.

It covers the foundations of AI agents and their architectures before moving into the core components that make them useful: LLMs, prompting, tools, APIs, workflows, memory, context, state, retrieval, and orchestration.

The book then explores the challenges of taking agents beyond prototypes. Readers learn about deployment, scaling, monitoring, evaluation, reliability, failure recovery, security, governance, permissions, human oversight, and responsible autonomy.

Rather than treating an AI agent as simply an LLM with tool access, the book presents the agent as part of a larger engineered system.

The final chapters bring these concepts together into a practical framework for moving from an initial business or technical problem through architecture, development, evaluation, staging, controlled deployment, monitoring, and continuous improvement.

The result is a comprehensive foundation for anyone who wants to understand not only how AI agents work, but also how to build and operate them responsibly in real-world applications.

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Artificial Intelligence

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About the Author

Mohammad Kamrul Hassan

Mohammad Kamrul Hassan is an IT engineer, tech consultant, and writer specializing in global politics, information technology, and travel. A former student of Voronezh State University, Russia, he currently works as an IT engineer for a UK-based international organization and collaborates with several global technology firms. Driven by a lifelong passion for international socio-political realities and long-distance travel, his writing seamlessly blends technical depth with rich, analytical global storytelling.

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Code Club

Code Club

https://www.codeclub.org.uk
A nationwide network of volunteer-led after school coding clubs for children aged 9-11.
We create projects for our volunteers to teach at after school coding clubs or at non-school venues such as libraries. The projects we make teach children how to program by showing them how to make computer games, animations and websites. Our volunteers go to their local club for an hour a week and teach one project a week. Each term the students will progress and learn more whilst at the same time using their imaginations and making creative projects. Terms 1 & 2 use Scratch to teach the basics of programming. Term 3 teaches the basics of web development using HTML and CSS. Term 4 teaches Python and so on. We’d like to put a Code Club in every single primary school in the country. There are over 21,000 primary schools in the UK, it’s a big task but we think we can do it!

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