AI Agents From Prompting to Deploying

" AI Agents: From Prompting to Deploying " is conceptualized to bridge the critical gap between understanding the theoretical underpinnings of Large Language Models (LLMs) and building practical, goal-oriented autonomous agents.
Philosophy
The core philosophy of this book is "Learning by Building." We believe that the most effective way to master the complexities of AI agents is to build them. The text intentionally minimizes abstract theory in favor of applied knowledge. It treats the reader as an active participant-an engineer-in-training-rather than a passive observer. Every concept is immediately followed by practical examples, code snippets, and hands-on labs, ensuring that theoretical knowledge is cemented through tangible implementation. We aim to empower readers to transition from being users of AI to becoming creators of intelligent, autonomous systems.
Key Features
1. End-to-End Coverage: Uniquely covers the entire lifecycle of an AI agent, from initial prompt design to final cloud deployment.
2. Focus on Evaluation: A dedicated chapter on agent evaluation and debugging-a critical and often-neglected topic.
3. Framework Agnostic Principles: While using popular frameworks like LangChain for examples, the book teaches the underlying principles of agent design that are transferable to any tool or technology.
4. Beginner to Advanced: The content is structured to be accessible for beginners, with enough depth and advanced topics to be a valuable resource for graduate students and professionals.
To Whom This Book Is For
1. B.Tech / M.Tech Computer Science Students: The primary audience, serving as a core textbook for courses on AI, Machine Learning, or Natural Language Processing.
2. Aspiring AI/ML Engineers: Professionals looking to upskill and specialize in the rapidly growing field of autonomous agents.
3. Software Developers: Engineers who want to integrate intelligent, agentic capabilities into their applications.
4. Researchers and Academics: A practical reference for building and experimenting with novel agent architectures.
Disclaimer : Earnest request from the Author.
Kindly go through the table of contents and refer kindle edition for a glance on the related contents.
Thank you for your kind consideration!

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