Generative Ai For Cloud Solutions

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Generative Ai For Cloud Solutions

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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.

Mastering Generative Ai For Cloud Solutions

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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.

Ultimate Generative Ai Solutions On Google Cloud

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Author : Arun Pandey
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2024-12-29

Ultimate Generative Ai Solutions On Google Cloud written by Arun Pandey and has been published by Orange Education Pvt Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-29 with Computers categories.

Unlock Generative AI's Potential: Transform Ideas into Reality on Google Cloud! Key Features● Step-by-step guidance for building Generative AI apps on Google Cloud Platform.● Pro tips for fine-tuning models to achieve optimal performance.● Industry-specific use cases for practical, hands-on learning. Book DescriptionGenerative AI, powered by Google Cloud Platform (GCP), is reshaping industries with its advanced capabilities in automating and enhancing complex tasks. The Ultimate Generative AI Solutions on Google Cloud is your comprehensive guide to harnessing this powerful combination to innovate and excel in your job role. It explores foundational machine learning concepts and dives deep into Generative AI, providing the essential knowledge needed to conceptualize, develop, and deploy cutting-edge AI solutions. Within these pages, you'll explore Large Language Models (LLMs), Prompt engineering, Fine-tuning techniques, and the latest advancements in AI, with special emphasis on Parameter-Efficient Fine-Tuning (PEFT) and Reinforcement Learning with Human Feedback (RLHF). You'll also learn about the integration of LangChain and Retrieval-Augmented Generation (RAG) to enhance AI capabilities. By mastering these techniques, you can optimize model performance while conserving resources. The integration of GCP services simplifies the development process, enabling the creation of robust AI applications with ease. By the end of this book, you will not only understand the technical aspects of Generative AI but also gain practical skills that can transform your work to drive innovation and boost operational efficiency with Generative AI on GCP. What you will learn● Build and deploy cutting-edge generative AI solutions using Google Cloud, LangChain, and RAG.● Fine-tune large language models (LLMs) with PEFT to meet precise business objectives.● Master prompt engineering techniques to enhance model performance with GCP tools.● Optimize production AI for efficiency and scalability using GCP’s Cloud Functions and Cloud Run.● Apply real-world industry use cases to drive innovation and solve complex problems with LLMOps.● Manage and streamline AI projects effectively using GCP services like Dataflow, Pub/Sub, and Monitoring. Table of Contents1. Generative AI Essentials2. Google Cloud Basics3. Getting Started with Large Language Models4. Prompt Engineering and Contextual Learning5. Fine-Tuning a Large Language Model6. Parameter-Efficient Fine-Tuning (PEFT)7. Reinforcement Learning with Human Feedback8. Model Optimization9. LLMOps for Managing and Monitoring AI Projects10. Harnessing RAG and LangChain11. Case Studies and Real-World Implementations.

Google Machine Learning And Generative Ai For Solutions Architects

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Author : Kieran Kavanagh
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-06-28

Google Machine Learning And Generative Ai For Solutions Architects written by Kieran Kavanagh 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 2024-06-28 with Computers categories.

Architect and run real-world AI/ML solutions at scale on Google Cloud, and discover best practices to address common industry challenges effectively Key Features Understand key concepts, from fundamentals through to complex topics, via a methodical approach Build real-world end-to-end MLOps solutions and generative AI applications on Google Cloud Get your hands on a code repository with over 20 hands-on projects for all stages of the ML model development lifecycle Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMost companies today are incorporating AI/ML into their businesses. Building and running apps utilizing AI/ML effectively is tough. This book, authored by a principal architect with about two decades of industry experience, who has led cross-functional teams to design, plan, implement, and govern enterprise cloud strategies, shows you exactly how to design and run AI/ML workloads successfully using years of experience from some of the world’s leading tech companies. You’ll get a clear understanding of essential fundamental AI/ML concepts, before moving on to complex topics with the help of examples and hands-on activities. This will help you explore advanced, cutting-edge AI/ML applications that address real-world use cases in today’s market. You’ll recognize the common challenges that companies face when implementing AI/ML workloads, and discover industry-proven best practices to overcome these. The chapters also teach you about the vast AI/ML landscape on Google Cloud and how to implement all the steps needed in a typical AI/ML project. You’ll use services such as BigQuery to prepare data; Vertex AI to train, deploy, monitor, and scale models in production; as well as MLOps to automate the entire process. By the end of this book, you will be able to unlock the full potential of Google Cloud's AI/ML offerings.What you will learn Build solutions with open-source offerings on Google Cloud, such as TensorFlow, PyTorch, and Spark Source, understand, and prepare data for ML workloads Build, train, and deploy ML models on Google Cloud Create an effective MLOps strategy and implement MLOps workloads on Google Cloud Discover common challenges in typical AI/ML projects and get solutions from experts Explore vector databases and their importance in Generative AI applications Uncover new Gen AI patterns such as Retrieval Augmented Generation (RAG), agents, and agentic workflows Who this book is for This book is for aspiring solutions architects looking to design and implement AI/ML solutions on Google Cloud. Although this book is suitable for both beginners and experienced practitioners, basic knowledge of Python and ML concepts is required. The book focuses on how AI/ML is used in the real world on Google Cloud. It briefly covers the basics at the beginning to establish a baseline for you, but it does not go into depth on the underlying mathematical concepts that are readily available in academic material.

Generative Ai For Software Developers

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Author : Saurabh Shrivastava
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-10-10

Generative Ai For Software Developers written by Saurabh Shrivastava 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 2025-10-10 with Computers categories.

Master Generative AI in software development with hands-on guidance, from coding and debugging to testing and deployment, using GitHub Copilot, Amazon Q Developer, and OpenAI APIs to build scalable, AI-powered applications Key Features Hands-on guidance for mastering AI-powered coding, debugging, and deployment with real-world examples Comprehensive coverage of GenAI concepts, prompt engineering, fine-tuning, and SDLC integration Practical strategies for architecting and scaling production-ready AI-driven applications Book DescriptionGenerative AI for Software Developers is your practical guide to mastering AI-powered development and staying ahead in a fast-changing industry. Through a structured, hands-on approach, this book helps you understand, implement, and optimize Generative AI in modern software engineering. From AI-assisted coding, debugging, and documentation to testing, deployment, and system design, it equips you with the skills to integrate AI seamlessly into your workflows. You’ll work with tools such as GitHub Copilot, Amazon Q Developer, and OpenAI APIs while learning strategies for prompt engineering, fine-tuning, and building scalable AI-powered applications. Featuring real-world use cases, best practices, and expert insights, this book bridges the gap between experimenting with AI and production deployment. Whether you’re an aspiring AI developer, experienced engineer, or solutions architect, this guide gives you the clarity, confidence, and tactical knowledge to thrive in the GenAI-driven future of software development. Armed with these insights, you’ll be ready to build, integrate, and scale intelligent solutions that enhance every stage of the software development lifecycle.What you will learn Build a secure GenAI application with expert guidance Understand the fundamentals of GenAI and its applications in software engineering Automate coding tasks with tools like GitHub Copilot, Amazon Q Developer, and OpenAI APIs Apply AI for debugging, testing, documentation, and deployment workflows Get to grips with prompt engineering and fine-tuning techniques to optimize AI outputs Implement best practices for architecting and scaling AI-powered applications Build end-to-end GenAI projects, moving from experimentation to production Who this book is for This book is for software developers, engineers, architects, and tech professionals who want to understand the core concepts of Generative AI and its real-world applications, master AI-driven development workflows to improve efficiency and code quality, and leverage tools like GitHub Copilot, Amazon Q Developer, and OpenAI APIs to automate coding tasks.

Harnessing Ai Blockchain And Cloud Computing For Enhanced E Government Services

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Author : Lytras, Miltiadis Demetrios
language : en
Publisher: IGI Global
Release Date : 2024-12-26

Harnessing Ai Blockchain And Cloud Computing For Enhanced E Government Services written by Lytras, Miltiadis Demetrios and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-26 with Political Science categories.

The integration of artificial intelligence (AI), blockchain, and cloud computing revolutionizes the way governments deliver services to citizens, creating new opportunities for efficient, transparent, and secure e-government solutions. AI can streamline decision-making and automate processes for personalized services, citizen need prediction, and optimized resource allocation. Blockchain technology offers enhanced security and accountability, while cloud computing provides the scalability and flexibility needed to store and process vast amounts of data. By harnessing the power of these technologies, governments can improve service delivery, reduce operational costs, and foster greater citizen engagement, driving the digital transformation of public sector functions and contributing to responsive, inclusive, and efficient governance. Further exploration of these technologies integration in government may provide insights into their role in enhancing public service delivery, citizen engagement, and administrative efficiency. Harnessing AI, Blockchain, and Cloud Computing for Enhanced e-Government Services delves into the transformative potential of modern technologies in reshaping government services. It explores how AI, blockchain, and cloud computing are driving the evolution of e-government, enabling more efficient, transparent, and value-added services across various public sectors. efficiency. This book covers topics such as political science, cybersecurity, and public sectors, and is a useful resource for data scientists, computer engineers, government officials, policymakers, business owners, researchers, and academicians.

Intelligent Horizons Unifying Ai Machine Learning Cloud Computing And Big Data For Next Generation Solutions

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Author : KUSHVANTH CHOWDARY NAGABHYRU
language : en
Publisher:
Release Date :

Intelligent Horizons Unifying Ai Machine Learning Cloud Computing And Big Data For Next Generation Solutions written by KUSHVANTH CHOWDARY NAGABHYRU and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

Cloud Computing

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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

Generative Ai On Google Cloud With Langchain

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Author : Leonid Kuligin
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-12-20

Generative Ai On Google Cloud With Langchain written by Leonid Kuligin 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 2024-12-20 with Computers categories.

Turn challenges into opportunities by mastering advanced techniques for text generation, summarization, and question answering using LangChain and Google Cloud tools Key Features Solve real-world business problems with hands-on examples of GenAI applications on Google Cloud Learn repeatable design patterns for Gen AI on Google Cloud with a focus on architecture and AI ethics Build and implement GenAI agents and workflows, such as RAG and NL2SQL, using LangChain and Vertex AI Purchase of the print or Kindle book includes a free PDF eBook Book Description The rapid transformation and enterprise adoption of GenAI has created an urgent demand for developers to quickly build and deploy AI applications that deliver real value. Written by three distinguished Google AI engineers and LangChain contributors who have shaped Google Cloud’s integration with LangChain and implemented AI solutions for Fortune 500 companies, this book bridges the gap between concept and implementation, exploring LangChain and Google Cloud’s enterprise-ready tools for scalable AI solutions. You'll start by exploring the fundamentals of large language models (LLMs) and how LangChain simplifies the development of AI workflows by connecting LLMs with external data and services. This book guides you through using essential tools like the Gemini and PaLM 2 APIs, Vertex AI, and Vertex AI Search to create sophisticated, production-ready GenAI applications. You'll also overcome the context limitations of LLMs by mastering advanced techniques like Retrieval-Augmented Generation (RAG) and external memory layers. Through practical patterns and real-world examples, you’ll gain everything you need to harness Google Cloud’s AI ecosystem, reducing the time to market while ensuring enterprise scalability. You’ll have the expertise to build robust GenAI applications that can be tailored to solve real-world business challenges. What you will learn Build enterprise-ready applications with LangChain and Google Cloud Navigate and select the right Google Cloud generative AI tools Apply modern design patterns for generative AI applications Plan and execute proof-of-concepts for enterprise AI solutions Gain hands-on experience with LangChain's and Google Cloud's AI products Implement advanced techniques for text generation and summarization Leverage Vertex AI Search and other tools for scalable AI solutions Who this book is for If you’re an application developer or ML engineer eager to dive into GenAI, this book is for you. Whether you're new to LangChain or Google Cloud, you'll learn how to use these tools to build scalable AI solutions. This book is ideal for developers familiar with Python and machine learning basics looking to apply their skills in GenAI. Professionals who want to explore Google Cloud's powerful suite of enterprise-grade GenAI products and their implementation will also find this book useful.

Machine Intelligence And Data Science Engineering

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Author : Dr.Rajneesh Kumar,
language : en
Publisher: SK Research Group of Companies
Release Date : 2025-10-24

Machine Intelligence And Data Science Engineering written by Dr.Rajneesh Kumar, and has been published by SK Research Group of Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-24 with Computers categories.

Dr.Rajneesh Kumar, Assistant Professor, Department of Computer Science and Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Ghaziabad, Uttar Pradesh, India. Dr.Naresh Sharma, Assistant Professor, Department of Computer Science and Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Ghaziabad, Uttar Pradesh, India. Ms.Madhuri Sharma, Assistant Professor, Department of Computer Science and Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Ghaziabad, Uttar Pradesh, India. Dr.Vinam Tomar, Assistant Professor, Department of Computer Science and Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Ghaziabad, Uttar Pradesh, India.