Getting Started With Azure Openai

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Getting Started With Azure Openai

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Author : Shimon Ifrah
language : en
Publisher: Springer Nature
Release Date : 2024-08-28

Getting Started With Azure Openai written by Shimon Ifrah and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-28 with Computers categories.

Learn to develop AI solutions using Azure SDK for .NET and deploy them on Microsoft Azure infrastructure. The book will teach you how to deploy Azure OpenAI services using Azure PowerShell, Azure CLI, and Azure API, as well as how to develop a variety of AI solutions using Azure AI services and tools. The book starts with an introduction to Azure AI and OpenAI, followed by a thorough n exploration of the necessary tools and services for deploying OpenAI in Azure. It covers Azure PowerShell, Copilot, and Azure CLI, and includes guidance on using Terraform with Azure OpenAI resources. Subsequently, detailed discussions on developing the Azure .NET SDK for Azure OpenAI and AI Services, alongside its use cases, are provided. Progressing further, readers will gain insight into initiating with Azure AI Studio and building Copilot with its help. Finally, various Azure AI services and AI tools are covered, encompassing GitHub Copilot for code writing and management. After reading the book, you will be able to develop AI solutions in Azure and deploy its services in OpenAI. What You Will Learn: Develop a Copilot using Azure AI Studio Access Azure AI and OpenAI services using API Deploy Azure AI Services using Azure CLI , PowerShell and Terraform The use of Postman to connect to Azure OpenAI Who This Book Is for: This book will be helpful for System Administrators and Azure Administrators

Azure Openai Service For Cloud Native Applications

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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

Ultimate Azure Ai Services For Gen Ai Solutions Build Advanced Gen Ai Solutions With Azure Openai Langchain And Vector Databases To Enhance Efficiency And Revolutionize Enterprise Operations

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Author : Shanthababu Pandian
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2025-05-08

Ultimate Azure Ai Services For Gen Ai Solutions Build Advanced Gen Ai Solutions With Azure Openai Langchain And Vector Databases To Enhance Efficiency And Revolutionize Enterprise Operations written by Shanthababu Pandian 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 2025-05-08 with Computers categories.

Master Generative AI with Azure OpenAI, AI Services, and advanced tools for real-world applications! Key Features● Step-by-step and structured content designed for beginners, intermediates, and experts alike.● Master all facets of Generative AI development, including LLMs, LangChain, Prompt Engineering, and Vector Databases.● Gain insights into implementation strategies through practical, real-world examples. Book DescriptionAzure OpenAI provides unparalleled access to cutting-edge AI models, empowering enterprises to innovate, automate, and drive transformative business outcomes at scale. Ultimate Azure AI Services for Gen AI Solutions is your gateway to mastering Azure OpenAI and Azure AI services. Whether you’re just starting out or looking to refine your skills, this book covers everything from foundational concepts to advanced techniques. Dive into topics like Large Language Models (LLMs), LangChain, vector databases, embeddings, and Python programming, with a focus on key Azure components such as Storage, Search Services, Azure OpenAI Studio, and Prompt Flow. Through step-by-step hands-on examples, you’ll gain practical insights into the power of prompt engineering, advanced features of Azure’s AI capabilities, and how to implement solutions in language, speech, and vision. You’ll also explore ethical AI practices, ensuring responsible and impactful AI development. This book equips you with the skills to navigate the full Generative AI lifecycle—from development to deployment—ensuring your enterprise stays ahead in this fast-paced field. Don’t miss your chance to transform your business with Azure’s revolutionary AI tools—start building the future today! What you will learn● Understand core concepts, including Large Language Models (LLMs), LangChain, and embedding techniques.● Utilize vector databases, embedding methods, and strategies for effective prompt design for Generative AI solutions.● Gain hands-on experience with Azure Storage, Azure Search Service, Azure OpenAI Service, and Azure OpenAI Studio.● Leverage Azure’s advanced AI capabilities, including Language, Speech, and Vision Studio, while adhering to responsible AI practices.● Master the AI product lifecycle, from development to deployment, using Python for AI-driven applications.

Programming Large Language Models With Azure Open Ai

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Author : Francesco Esposito
language : en
Publisher: Microsoft Press
Release Date : 2024-04-03

Programming Large Language Models With Azure Open Ai written by Francesco Esposito and has been published by Microsoft Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-03 with Computers categories.

Use LLMs to build better business software applications Autonomously communicate with users and optimize business tasks with applications built to make the interaction between humans and computers smooth and natural. Artificial Intelligence expert Francesco Esposito illustrates several scenarios for which a LLM is effective: crafting sophisticated business solutions, shortening the gap between humans and software-equipped machines, and building powerful reasoning engines. Insight into prompting and conversational programming—with specific techniques for patterns and frameworks—unlock how natural language can also lead to a new, advanced approach to coding. Concrete end-to-end demonstrations (featuring Python and ASP.NET Core) showcase versatile patterns of interaction between existing processes, APIs, data, and human input. Artificial Intelligence expert Francesco Esposito helps you: Understand the history of large language models and conversational programming Apply prompting as a new way of coding Learn core prompting techniques and fundamental use-cases Engineer advanced prompts, including connecting LLMs to data and function calling to build reasoning engines Use natural language in code to define workflows and orchestrate existing APIs Master external LLM frameworks Evaluate responsible AI security, privacy, and accuracy concerns Explore the AI regulatory landscape Build and implement a personal assistant Apply a retrieval augmented generation (RAG) pattern to formulate responses based on a knowledge base Construct a conversational user interface For IT Professionals and Consultants For software professionals, architects, lead developers, programmers, and Machine Learning enthusiasts For anyone else interested in natural language processing or real-world applications of human-like language in software

Azure Ai 102 Certification Essentials

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Author : Peter T. Lee
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-08-14

Azure Ai 102 Certification Essentials written by Peter T. Lee 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 2025-08-14 with Computers categories.

Go beyond AI-102 certification by mastering the foundations of Azure AI concepts and services—reinforced through practical labs and real-world examples. Key Features Solidify your understanding with targeted questions at the end of each chapter Assess your knowledge of key concepts with over 45 exam-style questions, complete with detailed explanations Get hands-on experience with GitHub projects, along with ongoing support from the author on GitHub Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionWritten by a seasoned solutions architect and Microsoft AI professional with over 25 years of IT experience, Azure AI-102 Certification Essentials will help you gain the skills and knowledge needed to confidently pass the Azure AI-102 certification exam and advance your career. This comprehensive guide covers all of the exam objectives, from designing AI solutions to integrating AI models into Azure services. By combining theoretical concepts with visual examples, hands-on exercises, and real-world use cases, the chapters teach you how to effectively apply your new-found knowledge. The book emphasizes responsible AI practices, addressing fairness, reliability, privacy, and security, while guiding you through testing AI models with diverse data and navigating legal considerations. Featuring the latest Azure AI tools and technologies, each chapter concludes with hands-on exercises to reinforce your learning, culminating in Chapter 11's comprehensive set of 45 mock questions that simulate the actual exam and help you assess your exam readiness. By the end of this book, you'll be able to confidently design, implement, and integrate AI solutions on Azure, while achieving this highly sought-after certification.What you will learn Learn core concepts relating to AI, LLMs, NLP, and generative AI Build and deploy with Azure AI Foundry, CI/CD, and containers Manage and secure Azure AI services with built-in tools Apply responsible AI using Azure AI Content Safety Perform OCR and analysis with Azure AI Vision Build apps with the Azure AI Language and Speech services Explore knowledge mining with Azure AI Search and Content Understanding Implement RAG and fine-tuning with Azure OpenAI Build agents using Azure AI Foundry Agent Service and Semantic Kernel Who this book is for If you're preparing for the Azure AI-102 certification exam, this book is for you. Developers, engineers, and career transitioners moving from traditional software development to AI-focused roles can use this guide to deepen their understanding of AI within the Azure ecosystem. This book is also beneficial for students and educators looking to apply AI/ML concepts using Azure. No prior experience in AI/ML is required as this book provides comprehensive coverage of exam topics with detailed explanations, practical examples, and hands-on exercises to build your confidence and expertise.

Azure For Developers

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Author : Kamil Mrzygłód
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-07-30

Azure For Developers written by Kamil Mrzygłód 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 2025-07-30 with Computers categories.

Advance your development career by mastering Microsoft Azure's latest tools and technologies to enhance existing applications and build powerful cloud-native solutions Key Features Build and deploy Azure apps with web, serverless, and container-based architectures Create end-to-end cloud solutions on Azure by integrating AI services, monitoring tools, and DevOps Upskill confidently with practical insights and real-world development practices Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionSupercharge your development career by mastering Azure’s evolving GenAI, container, and serverless capabilities to build scalable, secure applications with confidence. This third edition of Azure for Developers transforms complex cloud concepts into practical skills, guiding you through the design, deployment, and management of cloud-native solutions while eliminating infrastructure headaches. Fully updated with Azure’s latest features, this hands-on guide helps you automate DevOps pipelines with GitHub Actions, deploy microservices using containers, and integrate generative AI via Azure OpenAI to modernize your development workflows. You will learn how to set up your environment, streamline app deployment, and implement robust service integrations using real-world best practices. The final section is a game-changer for developers who want to stay ahead of the curve. It shows you how to leverage Azure’s AI and machine learning services to automate tasks, fine-tune models, and build intelligent assistants and next-generation workflows. By the end, you will have the confidence and capabilities to deliver production-grade cloud solutions that meet real-world demands and position yourself at the forefront of modern cloud development.What you will learn Integrate data solutions like Azure Storage and managed SQL databases into your applications Embed monitoring into your application using Application Insights SDK Develop serverless solutions with Azure Functions and Durable Functions Automate CI/CD workflows with GitHub Actions and Azure integration Build and manage containers using Azure Container Apps, Azure Container Registry (ACR), and App Service Design powerful workflows with both low-code and full-code approaches Enhance applications with AI and machine learning components Who this book is for This book is for cloud developers and engineers building applications with Microsoft Azure, as well as those looking to begin a career in Azure development. While a basic understanding of programming concepts is recommended, the book covers both basic and advanced ideas and solutions, making it valuable for beginners and experienced developers looking to enhance their skills.

Modern Generative Ai With Chatgpt And Openai Models

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Author : Valentina Alto
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-05-26

Modern Generative Ai With Chatgpt And Openai Models written by Valentina Alto 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 2023-05-26 with Computers categories.

Harness the power of AI with innovative, real-world applications, and unprecedented productivity boosts, powered by the latest advancements in AI technology like ChatGPT and OpenAI Purchase of the print or Kindle book includes a free PDF eBook Key Features Explore the theory behind generative AI models and the road to GPT3 and GPT4 Become familiar with ChatGPT's applications to boost everyday productivity Learn to embed OpenAI models into applications using lightweight frameworks like LangChain Book Description Generative AI models and AI language models are becoming increasingly popular due to their unparalleled capabilities. This book will provide you with insights into the inner workings of the LLMs and guide you through creating your own language models. You'll start with an introduction to the field of generative AI, helping you understand how these models are trained to generate new data. Next, you'll explore use cases where ChatGPT can boost productivity and enhance creativity. You'll learn how to get the best from your ChatGPT interactions by improving your prompt design and leveraging zero, one, and few-shots learning capabilities. The use cases are divided into clusters of marketers, researchers, and developers, which will help you apply what you learn in this book to your own challenges faster. You'll also discover enterprise-level scenarios that leverage OpenAI models' APIs available on Azure infrastructure; both generative models like GPT-3 and embedding models like Ada. For each scenario, you'll find an end-to-end implementation with Python, using Streamlit as the frontend and the LangChain SDK to facilitate models' integration into your applications. By the end of this book, you'll be well equipped to use the generative AI field and start using ChatGPT and OpenAI models' APIs in your own projects. What you will learn Understand generative AI concepts from basic to intermediate level Focus on the GPT architecture for generative AI models Maximize ChatGPT's value with an effective prompt design Explore applications and use cases of ChatGPT Use OpenAI models and features via API calls Build and deploy generative AI systems with Python Leverage Azure infrastructure for enterprise-level use cases Ensure responsible AI and ethics in generative AI systems Who this book is for This book is for individuals interested in boosting their daily productivity; businesspersons looking to dive deeper into real-world applications to empower their organizations; data scientists and developers trying to identify ways to boost ML models and code; marketers and researchers seeking to leverage use cases in their domain – all by using Chat GPT and OpenAI Models. A basic understanding of Python is required; however, the book provides theoretical descriptions alongside sections with code so that the reader can learn the concrete use case application without running the scripts.

Azure Openai Essentials

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Author : Amit Mukherjee
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-02-27

Azure Openai Essentials written by Amit Mukherjee 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 2025-02-27 with Computers categories.

Build innovative, scalable, and ethical AI solutions by harnessing the full potential of generative AI with this exhaustive guide Key Features Explore the capabilities of Azure OpenAI’s LLMs Craft end-to-end applications by utilizing the synergy of Azure OpenAI and Cognitive Services Design enterprise-grade GenAI solutions with effective prompt engineering, fine-tuning, and AI safety measures Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionFind out what makes Azure OpenAI a robust platform for building AI-driven solutions that can transform how businesses operate. Written by seasoned experts from Microsoft, this book will guide you in understanding Azure OpenAI from fundamentals through to advanced concepts and best practices. The book begins with an introduction to large language models (LLMs) and the Azure OpenAI Service, detailing how to access, use, and optimize its models. You'll learn how to design and implement AI-driven solutions, such as question-answering systems, contact center analytics, and GPT-powered search applications. Additionally, the chapters walk you through advanced concepts, including embeddings, fine-tuning models, prompt engineering, and building custom AI applications using LangChain and Semantic Kernel. You'll explore real-world use cases such as QnA systems, document summarizers, and SQLGPT for database querying, as well as gain insights into securing and operationalizing these solutions in enterprises. By the end of this book, you'll be ready to design, develop, and deploy scalable AI solutions, ensuring business success through intelligent automation and data-driven insights.What you will learn Understand the concept of large language models and their capabilities Interact with different models in Azure OpenAI using APIs or web interfaces Use content filters and mitigations to prevent harmful content generation Develop solutions with Azure OpenAI for content generation, summarization, semantic search, NLU, code and image generation and analysis Integrate Azure OpenAI with other Azure Cognitive services for enhanced functionality Apply best practices for data privacy, security, and prompt engineering with Azure OpenAI Who this book is for This book is for software developers, data scientists, AI engineers, ML engineers, system architects, LLM engineers, IT professionals, product managers, and business professionals who want to learn how to use Azure OpenAI to create innovative solutions with generative AI. To fully benefit from this book, you must have both an Azure subscription and Azure OpenAI access, along with knowledge of Python.

Blazor Web Development Cookbook

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Author : Pawel Bazyluk
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-11-29

Blazor Web Development Cookbook written by Pawel Bazyluk 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 2024-11-29 with Computers categories.

Master web development with Blazor in .NET 9, gaining advanced skills while working with dynamic components to secure and optimize your applications Key Features Develop generic, customizable components secured with roles and policies Manage application and user states, in simple to complex scenarios, across render boundaries Enhance user experience by embedding AI-powered features into the application Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionWith support for both server-side and client-side hosting, as well as the flexibility to mix render modes, Blazor empowers you to leverage cloud computing while maintaining the performance of local applications. Paweł Bazyluk—a Blazor expert with over a decade of experience in .NET technologies—shows you how Blazor, a Microsoft framework, enables you to create interactive web applications using C# and .NET, while reducing reliance on JavaScript. This cookbook highlights Blazor’s vast possibilities using practical recipes that address key aspects of web development and showcase the framework's versatility in building modern, integrated applications. Pawel demonstrates how to skillfully navigate component-based architecture, and create, parameterize, and customize components to achieve high modularity. Working through practical insights and hands-on guidance in each chapter, you’ll progress from advanced data binding and event handling intricacies to optimizing data display using grids. You’ll explore application state management, build interactive forms with validation, leverage Blazor’s routing engine, and keep every part of the application secure. The book also explores cutting-edge topics, touching on how to enhance your application with AI-powered features. By the end of the book, you’ll be fully equipped to build robust, scalable, and secure web applications in Blazor.What you will learn Build modular, reusable, maintainable code in component-based architecture Exchange data between a UI and external service while ensuring UI responsiveness Implement efficient user interactions and event handling Present data in a structured and user-friendly manner using grids Understand state management strategies crucial for complex applications Create user-friendly and robust data input forms with smart validations Explore routing capabilities and leverage navigation events Enhance forms with AI-powered features and implement your own AI chatbot Who this book is for This book is for developers with a foundational understanding of Blazor and .NET seeking proven solutions to common web application development challenges. Frontend engineers, .NET developers, and solution architects looking to gain full-stack expertise will also find this resource invaluable. Familiarity with HTML, CSS, and JavaScript programming will help you get the most out of this web development book.

Power Bi Machine Learning And Openai

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Author : Greg Beaumont
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-05-31

Power Bi Machine Learning And Openai written by Greg Beaumont 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 2023-05-31 with Computers categories.

Unleash the full potential of Power BI with the integration of AI and machine learning techniques using OpenAI Purchase of the print or Kindle book includes a free PDF eBook Key Features Take flight with Power BI machine learning and OpenAI using hands-on examples from the FAA airline data Unlock the full potential of Power BI for advanced analytics using OpenAI Design stunning data presentations, seamless integration of machine learning tools and technologies with OpenAI Book Description Microsoft Power BI is the ultimate solution for businesses looking to make data-driven decisions and unlock the full potential of their data. Unleashing Your Data with Power BI Machine Learning and OpenAI is designed for data scientists and BI professionals seeking to improve their existing solutions and workloads using AI. The book explains the intricacies of the subject by using a workshop-style data story for data ingestion, data modeling, analytics, and predictive analytics with Power BI machine learning. Along the way, you'll learn about AI features, AI visuals, R/Python integration, and OpenAI integration. The workshop-style content allows you to practice all your learnings in real-life challenges and gain hands-on experience. Additionally, you'll gain an understanding of AI/ML, step by step, with replicable examples and references. From enhancing data visualizations to building SaaS Power BI ML models, and integrating Azure OpenAI, this book will help you unlock new capabilities in Power BI. By the end of this book, you'll be well-equipped to build ML models in Power BI, plan projects for both BI and ML, understand R/Python visuals with Power BI, and introduce OpenAI to enhance your analytics solutions. What you will learn Discover best practices for implementing AI and ML capabilities in Power BI along with integration of OpenAI into the solution Understand how to integrate OpenAI and cognitive services into Power BI Explore how to build a SaaS auto ML model within Power BI Gain an understanding of R/Python integration with Power BI Enhance data visualizations for ML feature discovery Discover how to improve existing solutions and workloads using AI and ML capabilities in Power BI with OpenAI Acquire tips and tricks for successfully using AI and ML capabilities in Power BI along with integration of OpenAI into the solution Who this book is for This book is for data science and BI professionals looking to expand their skill sets into Power BI machine learning and OpenAI. This book is also useful for data scientists, data analysts, and IT professionals who want to learn how to incorporate OpenAI into Power BI for advanced experience.