Artículo: AMZ-B0F7KL5SCF

Enterprise Guide for Implementing Generative AI and Agentic AI: A Practical Guide to Developing, Deploying, and Operationalizing AI-Driven Applications for Enterprise Use

Format:

Paperback

Kindle

Paperback

Detalles del producto
Disponibilidad
En stock
Peso con empaque
0.81 kg
Devolución
Condición
Nuevo
Producto de
Amazon
Viaja desde
USA

Sobre este producto
  • Generative AI and Agentic AI together are revolutionizing the technology landscape, with profound and far-reaching impacts across industries. Organizations are increasingly adopting these technologies to drive innovation, enhance unstructured content management, and improve problem-solving capabilities. With Agentic AI, enterprises are moving towards the development of intelligent systems that can plan, reason, and act with autonomy. While early proof-of-concepts (POCs) demonstrated the potential of these technologies, the current shift is toward responsible and scalable production implementations that leverage both generative and agentic capabilities. This book begins by guiding you through the technological evolution of AI, from early machine learning to today’s large language models (LLMs) and agentic systems. It then explores a wide range of use cases across industries, highlighting how LLMs can support decision-making, and how Agentic AI enables dynamic, collaborative systems that act with autonomy and intent. This is followed by Design Patterns across the lifecycle of AI solution development, deployment and monitoring. Readers will then gain insights into the methodologies for developing and deploying Generative and Agentic AI solutions at an enterprise level. A featured implementation demonstrates how Agentic AI can be effectively put into action. The book also introduces essential concepts such as MLOps, LLMOps, and Responsible AI principles which are critical for transitioning the AI solutions from experimentation to production. These principles ensure that AI deployments are scalable, secure, ethical and compliant. The book concludes with key takeaways and best practices for developing, evaluating, deploying and scaling AI applications responsibly and effectively within enterprise settings. You Will:Understand key design patterns to develop, deploy and monitor a Generative AI solution effectively.Learn how to develop and implement a production-ready Agentic AI use case.Discover best practices for building scalable, secure, and enterprise-grade AI solutions.Understand how to assess and mitigate risks using Responsible AI principles and LLMOps best practices.This book is for : Enterprise Software Engineers and Architects
$132,02
60% OFF
$52,81

IMPORT EASILY

By purchasing this product you can deduct VAT with your RUT number

$132,02
60% OFF
$52,81

3 meses de gracia en diferidos y hasta 6 meses sin intereses con Pacificard

Envío gratis
Llega en 5 a 12 días hábiles
Con envío
Tienes garantia de entrega
Este producto viaja de USA a tus manos en