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.
Table of Contents
- The Generative AI Revolution - Why It Matters Now
- How Generative AI Works
- The AWS Generative AI Stack - Tools of the Trade
- Data Readiness and Model Selections
- Build an Agentic GenAI Application
- Production-Ready Agentic & GenAI Applications
- Advanced Techniques and Emerging Trends
- From Strategy to Use Case - Identifying Business Value
- Industry Spotlights and Case Studies
- Governance Ethics and Responsible AI
- Empowering People, Teams, and Culture in the Age of GenAI
- The Future of Generative AI