Generative AI at AWS: Turn business strategy into production-ready AI applications and agents
Format:
Paperback
En stock
0.88 kg
Si
Nuevo
Amazon
USA
- Bridge business goals and technical execution to build, deploy, and govern generative AI solutions on AWSKey FeaturesAlign business strategy with practical generative AI use cases on AWSBuild MVPs, agents, and production systems with Bedrock and SageMakerApply governance, scaling, and responsible AI practices across industriesPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionCut through the noise around generative AI and learn how to turn promising ideas into secure, scalable solutions on AWS. This book helps you connect business priorities with technical execution, so you can identify worthwhile use cases, select the right models and services, and move from pilot to production with confidence.You explore the fundamentals of generative AI, understand how foundation models and agents work, and see where services such as Amazon Bedrock AgentCore and Amazon SageMaker AI fit into a modern AI stack. From there, the book guides you through preparing data, building an MVP, deploying production-ready applications, and designing for scalability, governance, and responsible AI.Real-world industry examples and practical decision frameworks help you evaluate when to use generative AI, when traditional approaches are a better fit, and how to measure business value. You also examine advanced topics such as agentic AI, emerging patterns, and the future direction of enterprise AI.By the end of this book, you will be able to plan, build, and govern generative AI solutions on AWS that deliver measurable value for your organization.What you will learnUnderstand how generative AI creates business valueCompare models, prompts, fine-tuning, and RAGNavigate the AWS generative AI stack with confidencePrepare data and select models for real use casesBuild MVPs and production-ready AI applicationsApply governance, ethics, and responsible AI controlsEvaluate agentic AI patterns and emerging trendsMeasure impact across enterprise AI initiativesWho this book is forDevelopers, solutions architects, technical product managers, innovation leaders, CTOs, and business decision-makers who want to plan, build, and scale generative AI solutions on AWS. It is ideal for teams moving from experimentation to production and for leaders aligning AI initiatives with business outcomes. A basic understanding of cloud concepts and software delivery is helpful.Table of ContentsThe Generative AI Revolution – Why It Matters NowHow Generative AI WorksThe AWS Generative AI Stack – Tools of the TradeData Readiness and Model SelectionsBuild an Agentic GenAI ApplicationProduction-Ready Agentic & GenAI ApplicationsAdvanced Techniques and Emerging TrendsFrom Strategy to Use Case – Identifying Business ValueIndustry Spotlights and Case StudiesGovernance Ethics and Responsible AIEmpowering People, Teams, and Culture in the Age of GenAIThe Future of Generative AI
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