Agentic AI: A Hands-on Practical Approach

De: Ajit Singh

Narrado por: Virtual Voice

About the Book

"Agentic AI: A Hands-on Practical Approach" is a comprehensive, step-by-step guide designed to take you from a beginner to a competent builder of autonomous AI agents. This book is meticulously crafted to be a practical companion for students, developers, and enthusiasts who want to move beyond theory and start creating functional AI systems.


Philosophy

The core philosophy of this book is "Learning by Doing." I believe that true understanding in an engineering discipline comes from implementation. Every concept is introduced with the immediate goal of applying it. The text demystifies Agentic AI by breaking down complex architectures into simple, manageable components and providing clear, runnable code examples. The emphasis is overwhelmingly on practical application, ensuring that readers develop tangible skills rather than just accumulating theoretical knowledge.


Key Features

1. Strictly Practical Focus: More than 80% of the content is dedicated to hands-on implementation, code examples, and project-based learning.
2. Beginner to Advanced: The book caters to both beginners with a basic understanding of Python and ML, as well as advanced learners looking to master agentic frameworks.
3. End-to-End Project Lifecycle: Covers the full spectrum of agent development, from initial design and implementation to deployment and future scope.
4. Modern Tools and Frameworks: Utilizes the latest, industry-relevant technologies, ensuring the skills you learn are in high demand.
5. Complete Capstone Project: Features a detailed, line-by-line guide to building a functional AI Research Assistant in the final chapter.


To Whom This Book Is For

This book is written for:

1. Undergraduate and Graduate Students (B.Tech/M.Tech): Computer Science and IT students seeking a practical, curriculum-aligned resource for their AI courses.
2. Aspiring AI/ML Engineers: Individuals who want to specialize in the rapidly growing field of Agentic AI and build a strong, practical skill set.
3. Software Developers: Professionals looking to integrate autonomous agent capabilities into their existing applications and workflows.
4. Hobbyists and Self-Learners: Anyone with a passion for AI who wants a straightforward, hands-on guide to start building their own AI agents.

A basic understanding of Python programming and fundamental concepts of Machine Learning is recommended to get the most out of this book.


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!