Generative Agentic AI
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Generative Agentic AI
Narrated by:
Virtual Voice
Buy for $9.10
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Narrated by:
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Virtual Voice
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By:
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Ajit Singh
This title uses virtual voice narration
Virtual voice is computer-generated narration for audiobooks.
Key Features:
1. Beginner to Advanced Progression: The 10-chapter structure ensures a smooth learning curve, starting from "What is an Agent?" and progressing to deploying complex multi-agent systems.
2. Hands-On Practicals: Every chapter is packed with code examples, practical tutorials, and labs using popular frameworks like LangChain, LlamaIndex, and AutoGen.
3. Real-World Case Studies: Explore how agentic AI is being used in real applications, from automated software engineering and scientific research to personalized customer support.
4. Complete Capstone Project: The final chapter guides you step-by-step through building a complete, live DIY project—an AI Research Assistant—consolidating all the concepts learned throughout the book.
5. Simple and Explanatory Language: Complex architectural concepts are broken down into simple, easy-to-understand terms with clear diagrams and analogies.
6. Focus on Design and Architecture: Learn not just how to code an agent, but how to design a robust, scalable, and efficient agentic system from the ground up.
To Whom is This Book For?
This book is tailored for a wide audience, covering the needs of both beginners and advanced learners:
1. B.Tech/M.Tech Computer Science Students: The content is strictly aligned with the AICTE model curriculum and NEP 2020 guidelines, making it a perfect textbook for undergraduate and postgraduate courses on Artificial Intelligence, Machine Learning, and Intelligent Systems.
2. Aspiring AI/ML Engineers: For those looking to build a career in AI, this book provides the practical, hands-on skills required for roles involving the development of AI agents, chatbots, and autonomous systems.
3. Software Developers & Professionals: Developers seeking to upskill and integrate agentic AI capabilities into their applications will find this book an invaluable practical guide.
4. Researchers and Academics: The book serves as a strong foundation for those interested in exploring advanced research topics in agentic AI, including reasoning, planning, and multi-agent collaboration.
As you turn these pages, you are not just learning a subject; you are acquiring the skills to build the future. The concepts within this book—planning, tool use, self-correction, and multi-agent collaboration—are the very principles that will define the next generation of software, services, and human-computer interaction.
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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