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Generative AI at AWS Turn business strategy into production-ready AI applications and agents

22-10-2026, 07:29, posted by creativelivenew1

Generative AI at AWS: Turn business strategy into production-ready AI applications and agents
English | 2026 | ISBN: 1806104458 | 520 pages | True PDF | 38.37 MB
Bridge business goals and technical execution to build, deploy, and govern generative AI solutions on AWS


Key Features
Align business strategy with practical generative AI use cases on AWS
Build MVPs, agents, and production systems with Bedrock and SageMaker
Apply governance, scaling, and responsible AI practices across industries
Purchase of the print or Kindle book includes a free PDF eBook
Book Description
Cut 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 learn
Understand how generative AI creates business value
Compare models, prompts, fine-tuning, and RAG
Navigate the AWS generative AI stack with confidence
Prepare data and select models for real use cases
Build MVPs and production-ready AI applications
Apply governance, ethics, and responsible AI controls
Evaluate agentic AI patterns and emerging trends
Measure impact across enterprise AI initiatives
Who this book is for
Developers, 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.

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