Generative Ai For Cloud Solutions
DOWNLOAD
Download Generative Ai For Cloud Solutions PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Generative Ai For Cloud Solutions book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Generative Ai For Cloud Solutions
DOWNLOAD
Author : Paul Singh
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-04-22
Generative Ai For Cloud Solutions written by Paul Singh and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-22 with Computers categories.
Explore Generative AI, the engine behind ChatGPT, and delve into topics like LLM-infused frameworks, autonomous agents, and responsible innovation, to gain valuable insights into the future of AI Key Features Gain foundational GenAI knowledge and understand how to scale GenAI/ChatGPT in the cloud Understand advanced techniques for customizing LLMs for organizations via fine-tuning, prompt engineering, and responsible AI Peek into the future to explore emerging trends like multimodal AI and autonomous agents Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionGenerative artificial intelligence technologies and services, including ChatGPT, are transforming our work, life, and communication landscapes. To thrive in this new era, harnessing the full potential of these technologies is crucial. Generative AI for Cloud Solutions is a comprehensive guide to understanding and using Generative AI within cloud platforms. This book covers the basics of cloud computing and Generative AI/ChatGPT, addressing scaling strategies and security concerns. With its help, you’ll be able to apply responsible AI practices and other methods such as fine-tuning, RAG, autonomous agents, LLMOps, and Assistants APIs. As you progress, you’ll learn how to design and implement secure and scalable ChatGPT solutions on the cloud, while also gaining insights into the foundations of building conversational AI, such as chatbots. This process will help you customize your AI applications to suit your specific requirements. By the end of this book, you’ll have gained a solid understanding of the capabilities of Generative AI and cloud computing, empowering you to develop efficient and ethical AI solutions for a variety of applications and services.What you will learn Get started with the essentials of generative AI, LLMs, and ChatGPT, and understand how they function together Understand how we started applying NLP to concepts like transformers Grasp the process of fine-tuning and developing apps based on RAG Explore effective prompt engineering strategies Acquire insights into the app development frameworks and lifecycles of LLMs, including important aspects of LLMOps, autonomous agents, and Assistants APIs Discover how to scale and secure GenAI systems, while understanding the principles of responsible AI Who this book is for This artificial intelligence book is for aspiring cloud architects, data analysts, cloud developers, data scientists, AI researchers, technical business leaders, and technology evangelists looking to understanding the interplay between GenAI and cloud computing. Some chapters provide a broad overview of GenAI, which are suitable for readers with basic to no prior AI experience, aspiring to harness AI's potential. Other chapters delve into technical concepts that require intermediate data and AI skills. A basic understanding of a cloud ecosystem is required to get the most out of this book.
Generative Ai For Cloud Solutions
DOWNLOAD
Author : Sireesha Muppala
language : en
Publisher: BPB Publications
Release Date : 2025-03-15
Generative Ai For Cloud Solutions written by Sireesha Muppala and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-15 with Computers categories.
DESCRIPTION Generative AI is transforming every industry, with applications ranging from creative content generation, simple chatbots, to entirely new ways of engaging with consumers. But there is as much uncertainty as buzz—understanding how to use this technology securely and responsibly, and recognizing what the pitfalls are. In this book, we will put together a complete picture of generative AI development on modern cloud platforms, covering all stages of building and operating a production-grade solution with consideration for performance, security, governance, and responsibility. Conceptual discussions will be accompanied by functional examples, using working code on Amazon Web Services (AWS) cloud to demonstrate key concepts. We will explore the full lifecycle, from initial model selection and fine-tuning to production deployment, monitoring, and ongoing operation. Key aspects include prompt engineering, data integration techniques, observability, the shared responsibility model, and the full solution lifecycle from design to operation. Additionally, we will discuss recommendations for prioritizing a generative AI roadmap for organizations and emerging trends in the field. As readers progress, they will gain insights into the future trends of AI and witness its transformative impact across various industries through case studies. By the end of the book, the readers will have a solid understanding of the features of foundational models and their collaboration with cloud computing, enabling them to create innovative, efficient, and ethical AI solutions in diverse cloud-based applications. WHAT YOU WILL LEARN ● Basics of cloud computing and evolution of generative AI. ● Complete solution stack for generative AI to address security and performance concerns. ● Prompt engineering for improving performance and security concerns. ● Framework for the responsible use of AI to judge risks and put safeguards in place. ● Advanced fine-tuning smaller models to get effective performance at lower costs. ● Integration with data and tools to expand the power of generative AI and handle complex workflows and access new information. WHO THIS BOOK IS FOR This book is for cloud architects, engineers, data analysts, and AI professionals. Readers should possess foundational cloud and ML knowledge; generative AI expertise is not required. TABLE OF CONTENTS 1. Cloud Computing 2. Evolution of Generative AI 3. Cloud Computing and Generative AI 4. Generative AI Stack 5. Design Components, Model Selection, Evaluation, and Model Playgrounds 6. Prompt Engineering 7. Retrieval Augmented Generation 8. Advanced Model Fine-tuning Techniques 9. Model Hosting and Application Frameworks 10. Agentic Workflows 11. Observability and Monitoring 12. Security and Governance 13. Responsible AI 14. Building and Executing a Generative AI Roadmap 15. Generative AI Future and Trends
Mastering Generative Ai For Cloud Solutions
DOWNLOAD
Author : Anand Vemula
language : en
Publisher: Independently Published
Release Date : 2024-06-02
Mastering Generative Ai For Cloud Solutions written by Anand Vemula and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-02 with Computers categories.
"Mastering Generative AI for Cloud Solutions" is a comprehensive guide that explores the intersection of generative AI and cloud computing. It covers foundational concepts of both fields, including key technologies and algorithms, and delves into practical applications across various domains like natural language processing, computer vision, healthcare, finance, and entertainment. Readers will learn about major cloud platforms (AWS, Azure, Google Cloud) and their AI services, along with essential infrastructure considerations. The book emphasizes practical implementation with a dedicated section on hands-on exercises, guiding readers through building and deploying AI models, enhancing images, developing chatbots, and generating synthetic data. These exercises provide step-by-step instructions and code snippets to help users apply the concepts learned. Additionally, it addresses ethical, legal, and regulatory issues, ensuring responsible AI usage. Future trends and emerging technologies are discussed, preparing readers for advancements in AI and cloud integration. This book is an essential resource for professionals and enthusiasts aiming to leverage generative AI in cloud environments.
Cloud Computing
DOWNLOAD
Author : Xiaohua Feng
language : en
Publisher: Springer Nature
Release Date : 2025-08-23
Cloud Computing written by Xiaohua Feng and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-23 with Computers categories.
This book LNICST 617 constitutes the refereed proceedings of the 12th EAI International Conference on Cloud Computing, CloudComp 2024, held in Luton, UK, during September 9–10, 2024. The 16 full papers were carefully reviewed and selected from 42 submissions. The proceedings focus on topics such as The Cloud-Edging Computing Wireless Networks; Network Security Emerging Applications /The Cloud-Edging Integration Applications
Ai With Cloud Computing Principles And Applications
DOWNLOAD
Author : Dr. Dhanusha.C
language : en
Publisher: Academic Guru Publishing House
Release Date : 2025-01-30
Ai With Cloud Computing Principles And Applications written by Dr. Dhanusha.C and has been published by Academic Guru Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-30 with Study Aids categories.
Al with Cloud Computing: Principles and Applications offers a comprehensive exploration of the intersection between Artificial Intelligence and Cloud Computing, two of the most transformative technologies of the modern era. The book provides a detailed framework for understanding the core principles of both Al and cloud technologies, including how they complement each other in a variety of applications across industries. Structured in a user-friendly format, the book covers a wide range of topics, including the foundational elements of AI and Cloud Computing, service models (IaaS, PaaS, SaaS), deployment models (public, private, hybrid), and security considerations. It dives into how Al enhances cloud services like storage optimization, data analytics, and security, while also discussing the benefits of scalable, cost-effective cloud solutions for deploying Al models. Each chapter presents real-world use cases, allowing readers to grasp how these technologies are being leveraged in industries like healthcare, finance, and retail. By the end of the book, readers will have a solid understanding of how to integrate Al with cloud platforms to create efficient, scalable, and innovative solutions for a wide range of challenges.
Ai Driven Financial Intelligence Integrating Cloud Computing Big Data And Predictive Analytics For Tax Compliance Fraud Detection And Public Sector Fiscal Management
DOWNLOAD
Author : MURALI MALEMPATI
language : en
Publisher: JEC PUBLICATION
Release Date :
Ai Driven Financial Intelligence Integrating Cloud Computing Big Data And Predictive Analytics For Tax Compliance Fraud Detection And Public Sector Fiscal Management written by MURALI MALEMPATI and has been published by JEC PUBLICATION this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.
................................
The Impact Of Cloud Computing On The Japanese Macroeconomy
DOWNLOAD
Author : Atsushi Ozu
language : en
Publisher: Springer Nature
Release Date : 2024-11-22
The Impact Of Cloud Computing On The Japanese Macroeconomy written by Atsushi Ozu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-22 with Business & Economics categories.
This book focuses on the economic aspects of cloud computing, a critical ICT infrastructure in our digital age. The market for cloud computing is rapidly expanding and changing the nature of business in all industries. This book estimates and analyzes the impact of the diffusion of cloud computing on the Japanese macroeconomy, employing model-based simulations. Cloud computing services are being provided not only as simple data storage services but also as various value-added services. The market has shifted to an oligopoly, with a limited number of big-name global firms as the main players. This book quantitatively estimates the impact of this shift on Japan’s utility-based social welfare. The book also discusses public policy measures that can enhance free competition in a cloud computing market with oligopolistic characteristics. One aim of this book is to provide policymakers and researchers with fundamental data and an analytic approach that can be used to formulate public policy around cloud computing in terms of both regulation and market promotion.
Enterprise Ai In The Cloud
DOWNLOAD
Author : Rabi Jay
language : en
Publisher: John Wiley & Sons
Release Date : 2023-12-20
Enterprise Ai In The Cloud written by Rabi Jay and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-20 with Computers categories.
Embrace emerging AI trends and integrate your operations with cutting-edge solutions Enterprise AI in the Cloud: A Practical Guide to Deploying End-to-End Machine Learning and ChatGPT Solutions is an indispensable resource for professionals and companies who want to bring new AI technologies like generative AI, ChatGPT, and machine learning (ML) into their suite of cloud-based solutions. If you want to set up AI platforms in the cloud quickly and confidently and drive your business forward with the power of AI, this book is the ultimate go-to guide. The author shows you how to start an enterprise-wide AI transformation effort, taking you all the way through to implementation, with clearly defined processes, numerous examples, and hands-on exercises. You'll also discover best practices on optimizing cloud infrastructure for scalability and automation. Enterprise AI in the Cloud helps you gain a solid understanding of: AI-First Strategy: Adopt a comprehensive approach to implementing corporate AI systems in the cloud and at scale, using an AI-First strategy to drive innovation State-of-the-Art Use Cases: Learn from emerging AI/ML use cases, such as ChatGPT, VR/AR, blockchain, metaverse, hyper-automation, generative AI, transformer models, Keras, TensorFlow in the cloud, and quantum machine learning Platform Scalability and MLOps (ML Operations): Select the ideal cloud platform and adopt best practices on optimizing cloud infrastructure for scalability and automation AWS, Azure, Google ML: Understand the machine learning lifecycle, from framing problems to deploying models and beyond, leveraging the full power of Azure, AWS, and Google Cloud platforms AI-Driven Innovation Excellence: Get practical advice on identifying potential use cases, developing a winning AI strategy and portfolio, and driving an innovation culture Ethical and Trustworthy AI Mastery: Implement Responsible AI by avoiding common risks while maintaining transparency and ethics Scaling AI Enterprise-Wide: Scale your AI implementation using Strategic Change Management, AI Maturity Models, AI Center of Excellence, and AI Operating Model Whether you're a beginner or an experienced AI or MLOps engineer, business or technology leader, or an AI student or enthusiast, this comprehensive resource empowers you to confidently build and use AI models in production, bridging the gap between proof-of-concept projects and real-world AI deployments. With over 300 review questions, 50 hands-on exercises, templates, and hundreds of best practice tips to guide you through every step of the way, this book is a must-read for anyone seeking to accelerate AI transformation across their enterprise.
Azure Openai Service For Cloud Native Applications
DOWNLOAD
Author : Adrián González Sánchez
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2024-06-27
Azure Openai Service For Cloud Native Applications written by Adrián González Sánchez and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-27 with Computers categories.
Get the details, examples, and best practices you need to build generative AI applications, services, and solutions using the power of Azure OpenAI Service. With this comprehensive guide, Microsoft AI specialist Adrián González Sánchez examines the integration and utilization of Azure OpenAI Service—using powerful generative AI models such as GPT-4 and GPT-4o—within the Microsoft Azure cloud computing platform. To guide you through the technical details of using Azure OpenAI Service, this book shows you how to set up the necessary Azure resources, prepare end-to-end architectures, work with APIs, manage costs and usage, handle data privacy and security, and optimize performance. You'll learn various use cases where Azure OpenAI Service models can be applied, and get valuable insights from some of the most relevant AI and cloud experts. Ideal for software and cloud developers, product managers, architects, and engineers, as well as cloud-enabled data scientists, this book will help you: Learn how to implement cloud native applications with Azure OpenAI Service Deploy, customize, and integrate Azure OpenAI Service with your applications Customize large language models and orchestrate knowledge with company-owned data Use advanced roadmaps to plan your generative AI project Estimate cost and plan generative AI implementations for adopter companies
Cloud Computing S Transformative Power In Computing Environments
DOWNLOAD
Author : Hashim, Aisha Hassan Abdalla
language : en
Publisher: IGI Global
Release Date : 2025-07-08
Cloud Computing S Transformative Power In Computing Environments written by Hashim, Aisha Hassan Abdalla and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-08 with Computers categories.
Cloud computing has revolutionized the way data is stored, processed, and accessed, offering scalable and cost-effective solutions for individuals, businesses, and governments alike. Its integration with technologies is accelerating innovation across sectors, from healthcare and education to finance and manufacturing. By enabling on-demand access to computing resources, cloud technology enhances flexibility, collaboration, and efficiency in digital operations. As the digital landscape evolves, understanding and leveraging cloud computing is critical for driving technological progress and meeting the demands of an increasingly connected world. Cloud Computing's Transformative Power in Computing Environments provides a deep understanding of the transforming ability of cloud computing technologies in computing environments. It focuses on understanding the principles, practical implementations, and future trends in cloud computing. Covering topics such as 5G networks, digital transformation, and wireless energy harvesting, this book is an excellent resource for academicians, researchers, educators, IT professionals, policymakers, and more.