Ultimate Azure Ai Services For Gen Ai Solutions
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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.
Ultimate Azure Ai Services For Gen Ai Solutions
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Author : Shanthababu Pandian
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2025-05-08
Ultimate Azure Ai Services For Gen Ai Solutions written by Shanthababu Pandian and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-08 with Computers categories.
TAGLINE 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. DESCRIPTION Azure 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 WILL YOU 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. WHO IS THIS BOOK FOR? This book is tailored for Generative AI enthusiasts, professionals, and developers looking to upskill in Generative AI and integrate it into real-world applications. A basic understanding of Python and Azure is helpful but not required, as the book provides a structured approach to mastering AI implementation with Python and Azure services. TABLE OF CONTENTS 1. Introduction to Generative AI 2. Exploring LLMs and Its Capabilities 3. Vector Database and Embedding Techniques 4. Prompt Engineering and Its Significance 5. Azure Storage for Azure OpenAI Implementations 6. Azure AI Search Services for Azure OpenAI Implementations 7. Getting Started with Generative AI Using Azure OpenAI Services 8. Advanced Azure AI Studio–I 9. Advanced Azure AI Studio–II 10. Generative AI Use Cases for Industries–I 11. Gen AI Implementation Use Case with Azure OpenAI–II Index
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
The Future Belongs To Gen Ai Masters
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Author : SHIKHAR SINGH (THE ZENITH)
language : en
Publisher: APEX INFO
Release Date :
The Future Belongs To Gen Ai Masters written by SHIKHAR SINGH (THE ZENITH) and has been published by APEX INFO this book supported file pdf, txt, epub, kindle and other format this book has been release on with Self-Help categories.
🔮 Unlock the Future: Discover how Generative AI is reshaping industries and creating unprecedented opportunities. 🤖 Become an AI Alchemist: Learn to harness the power of algorithms to transform raw data into innovative solutions. 🧠 Master the Core Concepts: Grasp the fundamental principles driving Gen AI, from neural networks to transformer models. 🚀 Build Cutting-Edge Applications: Develop practical skills to design, train, and deploy Gen AI models for real-world problems. 🌐 Explore Emerging Trends: Stay ahead of the curve with insights into the latest advancements and future directions in AI. 🔑 Gain a Competitive Edge: Equip yourself with the knowledge and expertise to thrive in the age of intelligent machines. 💡 Innovate and Create: Unleash your creativity and build the next generation of AI-powered products and services.
Cloud Security Handbook
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Author : Eyal Estrin
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-04-30
Cloud Security Handbook written by Eyal Estrin 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 2025-04-30 with Computers categories.
A complete guide to securing the core components of cloud services, with practical, real-world examples using the built-in security features of Azure, AWS, and GCP Key Features Discover hands-on techniques for implementing robust cloud security implementation Protect your data and cloud infrastructure with tailored security strategies for your business Learn how to implement DevSecOps, apply encryption, detect threats and misconfigurations, and maintain cloud compliance Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionSecuring cloud resources is no easy task—each provider has its unique set of tools, processes, and challenges, demanding specialized expertise. This book cuts through the complexity, delivering practical guidance on embedding security best practices across the core infrastructure components of AWS, Azure, and GCP. It equips information security professionals and cloud engineers with the skills to identify risks and implement robust security controls throughout the design, deployment, and maintenance of public cloud environments. Starting with the shared responsibility model, cloud service models, and deployment models, this book helps you get to grips with fundamental concepts such as compute, storage, networking, identity management, and encryption. You’ll then explore common threats and compliance requirements for cloud environments. As you progress, you'll implement security strategies across deployments ranging from small-scale environments to enterprise-grade production systems, including hybrid and multi-cloud setups. This edition expands on emerging topics like GenAI service security and DevSecOps, with hands-on examples leveraging built-in security features of AWS, Azure, and GCP. By the end of this book, you'll confidently secure any cloud environment with a comprehensive understanding of cloud security principles.What you will learn Grasp the fundamental concepts of cloud services Secure compute, storage, and networking services across cloud platforms Get to grips with identity management in the cloud Secure Generative AI services in the cloud Audit and monitor cloud services with a security-focused approach Identify common threats and implement encryption to safeguard cloud services Implement security in hybrid and multi-cloud environments Design and maintain scalable security for large-scale cloud deployments Who this book is for This book is for IT professionals and information security personnel taking their first steps in the public cloud or migrating existing environments to the cloud. Cloud engineers, cloud architects, and cloud security professionals responsible for maintaining production environments in the cloud will also benefit from this book. Prior experience with deploying virtual machines, using storage services, and networking will help you to get the most out of this book.
The Art Of Site Reliability Engineering Sre With Azure
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Author : Unai Huete Beloki
language : en
Publisher: Springer Nature
Release Date : 2025-08-30
The Art Of Site Reliability Engineering Sre With Azure written by Unai Huete Beloki and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-30 with Computers categories.
Gain a foundational understanding of SRE and learn its basic concepts and architectural best practices for deploying Azure IaaS, PaaS, and microservices-based resilient architectures. The new edition of the book has been updated with the latest Azure features for high-availability in storage, networking, and virtual machine computing. It also includes new updates in Azure SQL, Cosmos DB, and Azure Load Testing. Additionally, the integration of agents with Microsoft services has been covered in this revised edition. After reading this book, you will understand the underlying concepts of SRE and its implementation using Azure public cloud. What You Will Learn: Learn SRE definitions and metrics like SLI/SLO/SLA, Error Budget, toil, MTTR, MTTF, and MTBF Understand Azure Well-Architected Framework (WAF) and Disaster Recovery scenarios on Azure Understand resiliency and how to design resilient solutions in Azure for different architecture types and services Master core DevOps concepts and the difference between SRE and tools like Azure DevOps and GitHub Utilize Azure observability tools like Azure Monitor, Application Insights, KQL or Grafana Who Is This Book For: IT operations administrators, engineers, security team members, as well as developers or DevOps engineers.
A Simple Guide To Retrieval Augmented Generation
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Author : Abhinav Kimothi
language : en
Publisher: Simon and Schuster
Release Date : 2025-07-01
A Simple Guide To Retrieval Augmented Generation written by Abhinav Kimothi and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-01 with Computers categories.
Everything you need to know about Retrieval Augmented Generation in one human-friendly guide. Augmented Generation—or RAG—enhances an LLM’s available data by adding context from an external knowledge base, so it can answer accurately about proprietary content, recent information, and even live conversations. RAG is powerful, and with A Simple Guide to Retrieval Augmented Generation, it’s also easy to understand and implement! In A Simple Guide to Retrieval Augmented Generation you’ll learn: • The components of a RAG system • How to create a RAG knowledge base • The indexing and generation pipeline • Evaluating a RAG system • Advanced RAG strategies • RAG tools, technologies, and frameworks A Simple Guide to Retrieval Augmented Generation gives an easy, yet comprehensive, introduction to RAG for AI beginners. You’ll go from basic RAG that uses indexing and generation pipelines, to modular RAG and multimodal data from images, spreadsheets, and more. About the Technology If you want to use a large language model to answer questions about your specific business, you’re out of luck. The LLM probably knows nothing about it and may even make up a response. Retrieval Augmented Generation is an approach that solves this class of problems. The model first retrieves the most relevant pieces of information from your knowledge stores (search index, vector database, or a set of documents) and then generates its answer using the user’s prompt and the retrieved material as context. This avoids hallucination and lets you decide what it says. About the Book A Simple Guide to Retrieval Augmented Generation is a plain-English guide to RAG. The book is easy to follow and packed with realistic Python code examples. It takes you concept-by-concept from your first steps with RAG to advanced approaches, exploring how tools like LangChain and Python libraries make RAG easy. And to make sure you really understand how RAG works, you’ll build a complete system yourself—even if you’re new to AI! What’s Inside • RAG components and applications • Evaluating RAG systems • Tools and frameworks for implementing RAG About the Readers For data scientists, engineers, and technology managers—no prior LLM experience required. Examples use simple, well-annotated Python code. About the Author Abhinav Kimothi is a seasoned data and AI professional. He has spent over 15 years in consulting and leadership roles in data science, machine learning and AI, and currently works as a Director of Data Science at Sigmoid. Table of Contents Part 1 1 LLMs and the need for RAG 2 RAG systems and their design Part 2 3 Indexing pipeline: Creating a knowledge base for RAG 4 Generation pipeline: Generating contextual LLM responses 5 RAG evaluation: Accuracy, relevance, and faithfulness Part 3 6 Progression of RAG systems: Naïve, advanced, and modular RAG 7 Evolving RAGOps stack Part 4 8 Graph, multimodal, agentic, and other RAG variants 9 RAG development framework and further exploration
Machine Learning Security With Azure
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Author : Georgia Kalyva
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-12-28
Machine Learning Security With Azure written by Georgia Kalyva 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 2023-12-28 with Computers categories.
Implement industry best practices to identify vulnerabilities and protect your data, models, environment, and applications while learning how to recover from a security breach Key Features Learn about machine learning attacks and assess your workloads for vulnerabilities Gain insights into securing data, infrastructure, and workloads effectively Discover how to set and maintain a better security posture with the Azure Machine Learning platform Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionWith AI and machine learning (ML) models gaining popularity and integrating into more and more applications, it is more important than ever to ensure that models perform accurately and are not vulnerable to cyberattacks. However, attacks can target your data or environment as well. This book will help you identify security risks and apply the best practices to protect your assets on multiple levels, from data and models to applications and infrastructure. This book begins by introducing what some common ML attacks are, how to identify your risks, and the industry standards and responsible AI principles you need to follow to gain an understanding of what you need to protect. Next, you will learn about the best practices to secure your assets. Starting with data protection and governance and then moving on to protect your infrastructure, you will gain insights into managing and securing your Azure ML workspace. This book introduces DevOps practices to automate your tasks securely and explains how to recover from ML attacks. Finally, you will learn how to set a security benchmark for your scenario and best practices to maintain and monitor your security posture. By the end of this book, you’ll be able to implement best practices to assess and secure your ML assets throughout the Azure Machine Learning life cycle.What you will learn Explore the Azure Machine Learning project life cycle and services Assess the vulnerability of your ML assets using the Zero Trust model Explore essential controls to ensure data governance and compliance in Azure Understand different methods to secure your data, models, and infrastructure against attacks Find out how to detect and remediate past or ongoing attacks Explore methods to recover from a security breach Monitor and maintain your security posture with the right tools and best practices Who this book is for This book is for anyone looking to learn how to assess, secure, and monitor every aspect of AI or machine learning projects running on the Microsoft Azure platform using the latest security and compliance, industry best practices, and standards. This is a must-have resource for machine learning developers and data scientists working on ML projects. IT administrators, DevOps, and security engineers required to secure and monitor Azure workloads will also benefit from this book, as the chapters cover everything from implementation to deployment, AI attack prevention, and recovery.
Management Organisations And Artificial Intelligence
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Author : Piotr Buła
language : en
Publisher: Routledge
Release Date : 2021-11-17
Management Organisations And Artificial Intelligence written by Piotr Buła and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-17 with Business & Economics categories.
This book combines academic research with practical guidelines in methods and techniques to supplement existing knowledge relating to organizational management in the era of digital acceleration. It offers a simple layout with concise but rich content presented in an engaging, accessible style and the authors’ holistic approach is unique in the field. From a universalist perspective, the book examines and analyzes the development of, among others, Industry 4.0, artificial intelligence (AI), AI 2.0, AI systems and platforms, algorithmics, new paradigms of organization management, business ecosystems, data processing models in AI-based organizations and AI strategies in the global perspective. An additional strength of the book is its relevance and contemporary nature, featuring information, data, forecasts or scenarios reaching up to 2030. How does one build, step by step, an organization that will be based on artificial intelligence technology and gain measurable benefits from it, for instance, as a result of its involvement in the creation of the so-called mesh ecosystem? The answer to this and many other pertinent questions are provided in this book. This timely and important book will appeal to scholars and students across the fields of organizational management and innovation and technology management, as well as managers, educators, scientists, entrepreneurs, innovators and more.
Python Machine Learning
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Author : Ryan Turner
language : en
Publisher: Publishing Factory
Release Date : 2020-04-18
Python Machine Learning written by Ryan Turner and has been published by Publishing Factory this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-18 with Computers categories.
Are you a novice programmer who wants to learn Python Machine Learning? Are you worried about how to translate what you already know into Python? This book will help you overcome those problems! As machines get ever more complex and perform more and more tasks to free up our time, so it is that new ideas are developed to help us continually improve their speed and abilities. One of these is Python and in Python Machine Learning: 3 books in 1 - The Ultimate Beginner's Guide to Learn Python Machine Learning Step by Step using Scikit-Learn and Tensorflow, you will discover information and advice on: Book 1 • What machine learning is • The history of machine learning • Approaches to machine learning • Support vector machines • Machine learning and neural networks • The Internet of Things (IoT) • The future of machine learning • And more… Book 2 • The principles surrounding Python • Different types of networks so you can choose what works best for you • Features of the system • Real world feature engineering • Understanding the techniques of semi-supervised learning • And more… Book 3 • How advanced tensorflow can be used • Neural network models and how to get the most from them • Machine learning with Generative Adversarial Networks • Translating images with cross domain GANs • TF clusters and how to use them • How to debug TF models • And more… This book has been written specifically for beginners and the simple, step by step instructions and plain language make it an ideal place to start for anyone who has a passing interest in this fascinating subject. Python really is an amazing system and can provide you with endless possibilities when you start learning about it. Get a copy of Python Machine Learning today and see where the future lies.