Search results for "Generative AI Modeling"
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Building Generative AI Solutions for Industry with AWS
Building Generative AI Solutions for Industry with AWS is a comprehensive guide for developers, and data scientists aiming to harness the power of Generative AI across a range of industrial domains using Amazon Web Services. This hands-on book provides readers with the knowledge and practical skills to design, secure, govern, and deploy GenAI solutions effectively in real-world environments. The book begins with an introduction to the fundamentals of Generative AI and the AI/ML services offered by AWS. Readers will explore industry use cases and learn how to kick-start their journey building GenAI applications on the AWS cloud. It focuses on security and governance, covering essential practices for data privacy, access control, encryption, compliance, and ethical AI deployment. Each chapter then dives deep into specific industry applications--automotive, manufacturing, healthcare, financial services, and media & entertainment. From autonomous driving and predictive maintenance to fraud detection and content creation, readers will learn how GenAI is transforming operations and unlocking new opportunities in these fields. The book also addresses cost management strategies for GenAI on AWS, offering guidance on optimizing resources and budgeting efficiently. Concluding with future possibilities and implementation best practices, this book equips professionals with the tools and insights to build scalable, secure, and compliant GenAI systems tailored to their domain. What you will learn: Understand the fundamentals of Generative AI and AWS AI/ML services.How to build and deploy secure, compliant GenAI applications on AWS.Explore real-life GenAI use cases across industries like automotive, healthcare, and finance.Gain insights into managing GenAI costs and optimizing AWS resources. Who this book is for: Software developers, machine learning engineers, data scientists, and cloud architects who want to build real-life Generative AI solutions using AWS.
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AWS Certified AI Practitioner (AIF-C01) Study Guide
AI is transforming industries, and cloud-based AI expertise is in high demand. This study guide is your essential resource for mastering foundational AI concepts and AWS tools while preparing for the AIF-C01 certification exam. Author Tom Taulli breaks down complex topics into practical, easy-to-understand lessons that will enhance the test-readiness of IT professionals, developers, or data analysts looking to expand into AI.Covering key areas like machine learning, natural language processing, computer vision, and generative AI, this guide also provides hands-on experience with AWS tools such as SageMaker, Bedrock, Rekognition, and Comprehend. With real-world examples, ethical considerations, and exam-focused strategies, you'll gain the confidence to both pass the exam and apply AI concepts in your career.Understand core AI principles and their applications in AWSLearn how to use AWS's AI tools for real-world business solutionsGrasp key exam strategies with practice questions and expert insightsApply AI techniques confidently in cloud environmentsAchieve certification and enhance your career in AI and cloud computing
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Azure Data Fundamentals
Learn the essential skills and concepts for working with data in the cloud using Microsoft Azure. With this practical guide, professionals new to data management and Azure will learn how to leverage Azure services such as Azure Cosmos DB, Azure Storage, Azure SQL, and Microsoft Fabric to create, store, process, analyze, and visualize data.Author Michael John Pena, data and AI director at Playtime Solutions, also shows you how to apply security, monitoring, and optimization techniques to your data solutions in Azure. Ideal as a resource for the Azure Data Fundamentals certification, this book also provides knowledge you can apply in your daily work even after platforms evolve and new technologies emerge.You'll gain insightful experience that will help you apply the fundamentals of data operations and engineering in the Azure ecosystem.Learn core data concepts and correlating Microsoft Azure data servicesDiscover how to work with relational and nonrelational data on AzureBuild data analytics solutions using various Azure data servicesIdentify and describe core data workloads and data analytics workloads on AzureDescribe how to work with data security and privacy on AzureExplain the use cases, benefits, and limitations of different Azure data services
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