Generative Ai With Microsoft Azure Practical Handbook
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Generative Ai With Microsoft Azure Practical Handbook
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Author : Anand Vemula
language : en
Publisher: Independently Published
Release Date : 2024-05-22
Generative Ai With Microsoft Azure Practical Handbook 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 2024-05-22 with Computers categories.
"Generative AI with Microsoft Azure" is a comprehensive guide that explores the integration of generative artificial intelligence (AI) with Azure's robust platform, highlighting the transformative potential of AI across various industries. The book is structured into five key parts, each delving into different aspects of generative AI and its applications on Azure. **Part I: Introduction to Generative AI and Microsoft Azure** provides a foundational understanding of generative AI, including its definitions, applications, and the different models like GANs, VAEs, and Transformers. It also introduces Microsoft Azure, guiding readers through setting up an Azure account, and exploring Azure AI and machine learning services. **Part II: Generative Models on Azure** dives into the implementation of specific generative models on Azure. It covers setting up and training Generative Adversarial Networks (GANs), building and deploying Variational Autoencoders (VAEs), and implementing advanced language models like GPT and BERT. This section emphasizes the practical steps and Azure tools necessary for working with these models. **Part III: Advanced Topics and Use Cases** explores specialized applications of generative AI, such as image and video generation, natural language generation (NLG), and conversational agents. It showcases real-world use cases and how Azure services, like Cognitive Services and Bot Service, enhance these applications, offering insights into their implementation and impact. **Part IV: Deployment and Scaling** focuses on the practicalities of deploying generative AI models on Azure. It discusses best practices for deployment, the use of Azure Kubernetes Service (AKS) for container orchestration, and techniques for monitoring and managing models. The section also covers strategies for scaling AI solutions effectively using Azure's infrastructure, with an emphasis on cost management and optimization. **Part V: Case Studies and Future Trends** presents industry-specific case studies demonstrating the application of generative AI in healthcare, finance, and creative industries. It concludes with a forward-looking perspective on emerging technologies, ethical considerations, and the future trajectory of generative AI on Azure, highlighting the importance of responsible AI practices. Overall, "Generative AI with Microsoft Azure" serves as an essential resource for professionals and enthusiasts looking to leverage Azure's capabilities to harness the power of generative AI, offering practical guidance, real-world applications, and insights into future advancements.
Generative Ai With Microsoft Azure Practical Handbook
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Author : Anand Vemula
language : en
Publisher: Anand Vemula
Release Date :
Generative Ai With Microsoft Azure Practical Handbook written by Anand Vemula and has been published by Anand Vemula this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
"Generative AI with Microsoft Azure" is a comprehensive guide that explores the integration of generative artificial intelligence (AI) with Azure's robust platform, highlighting the transformative potential of AI across various industries. The book is structured into five key parts, each delving into different aspects of generative AI and its applications on Azure. **Part I: Introduction to Generative AI and Microsoft Azure** provides a foundational understanding of generative AI, including its definitions, applications, and the different models like GANs, VAEs, and Transformers. It also introduces Microsoft Azure, guiding readers through setting up an Azure account, and exploring Azure AI and machine learning services. **Part II: Generative Models on Azure** dives into the implementation of specific generative models on Azure. It covers setting up and training Generative Adversarial Networks (GANs), building and deploying Variational Autoencoders (VAEs), and implementing advanced language models like GPT and BERT. This section emphasizes the practical steps and Azure tools necessary for working with these models. **Part III: Advanced Topics and Use Cases** explores specialized applications of generative AI, such as image and video generation, natural language generation (NLG), and conversational agents. It showcases real-world use cases and how Azure services, like Cognitive Services and Bot Service, enhance these applications, offering insights into their implementation and impact. **Part IV: Deployment and Scaling** focuses on the practicalities of deploying generative AI models on Azure. It discusses best practices for deployment, the use of Azure Kubernetes Service (AKS) for container orchestration, and techniques for monitoring and managing models. The section also covers strategies for scaling AI solutions effectively using Azure’s infrastructure, with an emphasis on cost management and optimization. **Part V: Case Studies and Future Trends** presents industry-specific case studies demonstrating the application of generative AI in healthcare, finance, and creative industries. It concludes with a forward-looking perspective on emerging technologies, ethical considerations, and the future trajectory of generative AI on Azure, highlighting the importance of responsible AI practices. Overall, "Generative AI with Microsoft Azure" serves as an essential resource for professionals and enthusiasts looking to leverage Azure's capabilities to harness the power of generative AI, offering practical guidance, real-world applications, and insights into future advancements.
Generative Ai In The Courtroom A Practical Handbook For Modern Justice
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Author : Aspire K Swaminathan, Anita Thomas
language : en
Publisher: Notion Press
Release Date : 2024-10-30
Generative Ai In The Courtroom A Practical Handbook For Modern Justice written by Aspire K Swaminathan, Anita Thomas and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-30 with Law categories.
Generative AI in the Courtroom: A Practical Handbook for Modern Justice offers a groundbreaking look at how cutting-edge technology can transform the legal system. Co-authored by Aspire K Swaminathan, a serial entrepreneur and doctoral scholar in Generative AI, and Anita Thomas, a seasoned lawyer with over 30 years of practice, this book addresses one of the most pressing challenges in today’s judiciary—efficiency. In a legal ecosystem often bogged down by delays and inefficiencies, this handbook provides a practical roadmap for integrating AI into courtrooms. From enhancing legal research to drafting documents and assisting judges in decision-making, the book explores real-world applications of AI to improve access to justice. It balances technical insight with ethical considerations, offering clear, actionable strategies for legal professionals at every level. Whether you’re a lawyer, judge, policymaker, or simply curious about the future of law, this book provides a glimpse into how technology can modernize the judiciary and bring justice closer to those who need it most."
Microsoft Azure Ai Fundamentals Ai 900 Exam Guide
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Author : Aaron Guilmette
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-05-31
Microsoft Azure Ai Fundamentals Ai 900 Exam Guide written by Aaron Guilmette 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 2024-05-31 with Computers categories.
Get ready to pass the certification exam on your first attempt by gaining actionable insights into AI concepts, ML techniques, and Azure AI services covered in the latest AI-900 exam syllabus from two industry experts Key Features Discover Azure AI services, including computer vision, Auto ML, NLP, and OpenAI Explore AI use cases, such as image identification, chatbots, and more Work through 145 practice questions under chapter-end self-assessments and mock exams Purchase of this book unlocks access to web-based exam prep resources, including mock exams, flashcards, and exam tips Book Description The AI-900 exam helps you take your first step into an AI-shaped future. Regardless of your technical background, this book will help you test your understanding of the key AI-related topics and tools used to develop AI solutions in Azure cloud. This exam guide focuses on AI workloads, including natural language processing (NLP) and large language models (LLMs). You'll explore Microsoft's responsible AI principles like safety and accountability. Then, you'll cover the basics of machine learning (ML), including classification and deep learning, and learn how to use training and validation datasets with Azure ML. Using Azure AI Vision, face detection, and Video Indexer services, you'll get up to speed with computer vision-related topics like image classification, object detection, and facial detection. Later chapters cover NLP features such as key phrase extraction, sentiment analysis, and speech processing using Azure AI Language, speech, and translator services. The book also guides you through identifying GenAI models and leveraging Azure OpenAI Service for content generation. At the end of each chapter, you'll find chapter review questions with answers, provided as an online resource. By the end of this exam guide, you'll be able to work with AI solutions in Azure and pass the AI-900 exam using the online exam prep resources. What you will learn Discover various types of artificial intelligence (AI)workloads and services in Azure Cover Microsoft's guiding principles for responsible AI development and use Understand the fundamental principles of how AI and machine learning work Explore how AI models can recognize content in images and documents Gain insights into the features and use cases for natural language processing Explore the capabilities of generative AI services Who this book is for Whether you're a cloud engineer, software developer, an aspiring data scientist, or simply interested in learning AI/ML concepts and capabilities on Azure, this book is for you. The book also serves as a foundation for those looking to attempt more advanced AI and data science-related certification exams (e.g. Microsoft Certified: Azure AI Engineer Associate). Although no experience in data science and software engineering is required, basic knowledge of cloud concepts and client-server applications is assumed.
Azure Data And Ai Architect Handbook
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Author : Olivier Mertens
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-07-31
Azure Data And Ai Architect Handbook written by Olivier Mertens 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 2023-07-31 with Computers categories.
Master core data architecture design concepts and Azure Data & AI services to gain a cloud data and AI architect’s perspective to developing end-to-end solutions Purchase of the print or Kindle book includes a free PDF eBook Key Features Translate and implement conceptual architectures with the right Azure services Inject artificial intelligence into data solutions for advanced analytics Leverage cloud computing and frameworks to drive data science workloads Book DescriptionWith data’s growing importance in businesses, the need for cloud data and AI architects has never been higher. The Azure Data and AI Architect Handbook is designed to assist any data professional or academic looking to advance their cloud data platform designing skills. This book will help you understand all the individual components of an end-to-end data architecture and how to piece them together into a scalable and robust solution. You’ll begin by getting to grips with core data architecture design concepts and Azure Data & AI services, before exploring cloud landing zones and best practices for building up an enterprise-scale data platform from scratch. Next, you’ll take a deep dive into various data domains such as data engineering, business intelligence, data science, and data governance. As you advance, you’ll cover topics ranging from learning different methods of ingesting data into the cloud to designing the right data warehousing solution, managing large-scale data transformations, extracting valuable insights, and learning how to leverage cloud computing to drive advanced analytical workloads. Finally, you’ll discover how to add data governance, compliance, and security to solutions. By the end of this book, you’ll have gained the expertise needed to become a well-rounded Azure Data & AI architect.What you will learn Design scalable and cost-effective cloud data platforms on Microsoft Azure Explore architectural design patterns with various use cases Determine the right data stores and data warehouse solutions Discover best practices for data orchestration and transformation Help end users to visualize data using interactive dashboarding Leverage OpenAI and custom ML models for advanced analytics Manage security, compliance, and governance for the data estate Who this book is forThis book is for anyone looking to elevate their skill set to the level of an architect. Data engineers, data scientists, business intelligence developers, and database administrators who want to learn how to design end-to-end data solutions and get a bird’s-eye view of the entire data platform will find this book useful. Although not required, basic knowledge of databases and data engineering workloads is recommended.
Azure Ai Fundamentals Ai 900 Study Guide
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Author : Tom Taulli
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2025-05-06
Azure Ai Fundamentals Ai 900 Study Guide written by Tom Taulli 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 2025-05-06 with Computers categories.
Businesses that want to stay competitive know that AI has become a crucial technology—and so do their employees looking to grow their careers. Earning Microsoft's AI-900: Azure AI Fundamentals certification proves your proficiency with foundational AI concepts. This study guide equips you with the knowledge needed to pass the AI-900 exam, whether you're an IT professional, a data analyst, or a student looking to break into the AI field. Packed with clear explanations, real-world examples, exam tips, and practice questions, this comprehensive handbook is your go-to resource for mastering the Azure AI platform and advancing your career. You'll explore key exam topics, including machine learning, computer vision, and generative AI, while gaining practical insights into leveraging Azure's powerful AI tools.
Cloud Native Development With Azure
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Author : Pavan Verma
language : en
Publisher: BPB Publications
Release Date : 2024-03-19
Cloud Native Development With Azure written by Pavan Verma and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-19 with Computers categories.
Develop cloud-native skills by learning Azure cloud infrastructure offerings KEY FEATURES ● Master cloud-native development fundamentals and Azure services. ● Application security, monitoring, and efficient management. ● Explore advanced services like Azure Machine Learning & IoT Hub. DESCRIPTION Azure is a powerful cloud computing platform with a wide range of services. Reading this book can help you gain an in-depth understanding of these services and how to use them effectively. Being one of the most popular cloud computing platforms, having knowledge and skills in Azure can be a valuable asset in your career. Explore Microsoft Azure for cloud-native development. Understand its basics, benefits, and services. Learn about identity management, compute resources, and application building. Discover containerization with Azure Kubernetes Service and Azure Container Registry. Dive into microservices architecture and serverless development with Azure Functions. Understand security, monitoring, logging, and CI/CD pipelines with Azure DevOps. Finally, explore advanced services like Azure Machine Learning and Azure IoT Hub, with real-world case studies and insights into future trends. Azure is constantly evolving, with new features and services being added regularly. Reading books on Azure cloud can help you stay up-to-date with the latest developments in the platform and keep your skills current. WHAT YOU WILL LEARN ● Design and build scalable cloud-native apps. ● Utilize Azure services for identity, compute, and storage. ● Implement containerization for efficient packaging and deployment. ● Secure applications with robust Azure security features. ● Manage and monitor applications for optimal performance and reliability. WHO THIS BOOK IS FOR This book is ideal for software developers, architects, and cloud engineers looking to build and deploy modern, scalable applications on the Microsoft Azure cloud platform. TABLE OF CONTENTS 1. Introduction to cloud and cloud native development 2. Azure Services for Cloud Native Development 3. Data Storage Services on Azure Cloud 4. Azure Kubernetes and Container Registry 5. Developing Applications on Azure 6. Monitoring And Logging Applications on Azure 7. Security and Governance on Azure 8. Deploying Applications on Azure 9. Advance Azure Services 10. Case Studies and best practice 11. Generative AI and Future Trends
A Comprehensive Handbook To Llms And Generative Ai
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Author : Dr. Sitanath Biswas
language : en
Publisher: JEC PUBLICATION
Release Date :
A Comprehensive Handbook To Llms And Generative Ai written by Dr. Sitanath Biswas 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 Computers categories.
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Generative Ai With Langchain
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Author : Dr. Priyanka Singh
language : en
Publisher: BPB Publications
Release Date : 2025-04-25
Generative Ai With Langchain written by Dr. Priyanka Singh and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-25 with Computers categories.
DESCRIPTION AI is redefining how businesses solve problems, automate decisions, and deliver value. LangChain, an emerging framework, streamlines the integration of large language models into real-world applications, making AI more actionable and accessible. Unlock the power of cutting-edge AI with LangChain, a revolutionary Python framework designed to simplify the creation of sophisticated AI applications. This book begins with the foundational knowledge of AI and LangChain, followed by practical tools like Python, neural networks, and cloud platforms such as AWS and Azure. You will explore LangChain’s architecture and gain hands-on experience integrating LangChain with leading cloud platforms. You will discover how to leverage powerful data science tools like Snowflake and Athena for real-world AI projects. You will analyze AI applications in modern operational frameworks, such as DevOps and MLOps, and gain insights into the exciting future trends, ethical AI practices, and real-world deployment strategies that are shaping the evolution of AI and LangChain. By the end of this book, readers will confidently design, develop, and deploy intelligent AI applications using LangChain. You will be equipped to solve real-world problems through scalable, cloud-integrated AI systems with strong coding, deployment, and data-handling skills. WHAT YOU WILL LEARN ● Understand AI fundamentals, LangChain's architecture, ethical AI, and Python setup. ● Master Python basics, control structures, functions, and modules for AI development. ● Explore LangChain's core components, workflow, and practical implementation in AI. ● Apply AI, including LangChain, in DevOps and MLOps for automation and efficiency. ● Explore future AI trends, LangChain's evolving role, and ethical considerations. ● Integrate LangChain with AWS services for scalable AI deployment and management. ● Utilize Snowflake and Athena with LangChain for real-world data-driven AI projects. WHO THIS BOOK IS FOR This book is ideal for software developers, AI enthusiasts, data scientists, DevOps engineers, and tech professionals aiming to gain practical skills in AI implementation using LangChain. Educators and students in computer science will also benefit from its hands-on guidance. TABLE OF CONTENTS 1. Introduction to Artificial Intelligence and LangChain 2. Getting Started with Python 3. Understanding LangChain Basics 4. Neural Network with LangChain 5. LangChain and AWS Integration 6. LangChain and Azure Integration 7. Real-world Data Science with Snowflake and Athena 8. AI in DevOps and MLOps 9. Future Trends in AI and LangChain APPENDIX 1: Additional Resources and References APPENDIX 2: Glossary of Terms
Cloud Observability With Azure Monitor
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Author : José Ángel Fernández
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-11-22
Cloud Observability With Azure Monitor written by José Ángel Fernández 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 2024-11-22 with Computers categories.
Implement real-time monitoring, visualization, analytics, and troubleshooting strategies on Azure to ensure optimal performance and reliability in your cloud environment Key Features Monitor Azure-native, hybrid, and multi-cloud infrastructure effectively Design proactive incident responses and visualization dashboards for configuring, optimizing, and monitoring data Implement strategies for monitoring Azure applications using real-world case studies Purchase of the print or Kindle book includes a free PDF eBook Book Description Cloud observability is complex and costly due to the use of hybrid and multi-cloud infrastructure as well as various Azure tools, hampering IT teams’ ability to monitor and analyze issues. The authors distill their years of experience with Microsoft to share the strategic insights and practical skills needed to optimize performance, ensure reliability, and navigate the dynamic landscape of observability on Azure. You’ll get an in-depth understanding of cloud observability and Azure Monitor basics, before getting to grips with the configuration and optimization of data sources and pipelines for effective monitoring. You’ll learn about advanced data analysis techniques using metrics and the Kusto Query Language (KQL) for your logs, design proactive incident response strategies with automated alerts, and visualize reports via dashboards. Using hands-on examples and best practices, you’ll explore the integration of Azure Monitor with Azure Arc and third-party tools, such as Datadog, Elastic Stack, or Dynatrace. You’ll also implement artificial intelligence for IT Operations (AIOps) and secure monitoring for hybrid and multi-cloud environments, aligned with emerging trends. By the end of this book, you’ll be able to develop robust and cost-optimized observability solutions for monitoring your Azure infrastructure and apps using Azure Monitor. What you will learn Get a holistic overview of cloud observability with Azure Monitor Configure and optimize data sources to monitor Azure solutions Analyze logs and metrics using advanced data analysis techniques with KQL Design proactive incident response strategies with automated alerts Visualize monitoring data through impactful dashboards and reports Extend observability to hybrid and multi-cloud environments with Azure Arc Build and implement monitoring solutions on Azure, aligned with industry standards Who this book is for If you're a seasoned cloud engineer, cloud architect, DevOps engineer, SRE, or an aspiring cloud practitioner eager to elevate your observability skills on Azure and implement monitoring strategies using Azure Monitor, then this book is for you. A basic understanding of Azure cloud services, cloud infrastructure management, and network virtualization will be helpful.