A Practical Guide for Mastering Generative AI Applications Using Amazon Bedrock
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Beschreibung
This comprehensive guide gives you the knowledge and skills you need to excel in Generative AI. From understanding the fundamentals to mastering techniques, this book offers a step-by-step approach to leverage Amazon Bedrock to build, deploy, and secure Generative AI applications.
The book presents structured chapters and practical examples to delve into key concepts such as prompt engineering, retrieval-augmented generation, and model evaluation. You will gain profound insights into the Amazon Bedrock platform. The book covers setup, life cycle management, and integration with Amazon SageMaker. The book emphasizes real-world applications, and provides use cases and best practices across industries on topics such as text summarization, image generation, and conversational AI bots. The book tackles vital topics including data privacy, security, responsible AI practices, and guidance on navigating governance and monitoring challenges while ensuring adherence to ethical standards and regulations.
The book provides the tools and knowledge needed to excel in the rapidly evolving field of Generative AI. Whether you're a data scientist, AI engineer, or business professional, this book will empower you to harness the full potential of Generative AI and drive innovation in your organization.
What You Will Learn
- Understand the fundamentals of Generative AI and Amazon Bedrock
- Build Responsible Generative AI applications leveraging Amazon Bedrock
- Know techniques and best practices
- See real-worl applications
- Integrate and manage platforms
- Handle securty and governance issues
- Evaluate and optimze models
- Gain future-ready insights
- Understand the project life cycle when building Generative AI Applications
This comprehensive guide gives you the knowledge and skills you need to excel in Generative AI. From understanding the fundamentals to mastering techniques, this book offers a step-by-step approach to leverage Amazon Bedrock to build, deploy, and secure Generative AI applications.
The book presents structured chapters and practical examples to delve into key concepts such as prompt engineering, retrieval-augmented generation, and model evaluation. You will gain profound insights into the Amazon Bedrock platform. The book covers setup, life cycle management, and integration with Amazon SageMaker. The book emphasizes real-world applications, and provides use cases and best practices across industries on topics such as text summarization, image generation, and conversational AI bots. The book tackles vital topics including data privacy, security, responsible AI practices, and guidance on navigating governance and monitoring challenges while ensuring adherence to ethical standards and regulations.
The book provides the tools and knowledge needed to excel in the rapidly evolving field of Generative AI. Whether you're a data scientist, AI engineer, or business professional, this book will empower you to harness the full potential of Generative AI and drive innovation in your organization.
What You Will Learn
- Understand the fundamentals of Generative AI and Amazon Bedrock
- Build Responsible Generative AI applications leveraging Amazon Bedrock
- Know techniques and best practices
- See real-worl applications
- Integrate and manage platforms
- Handle securty and governance issues
- Evaluate and optimze models
- Gain future-ready insights
- Understand the project life cycle when building Generative AI Applications
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Who This Book Is For
Data scientistys, AI/ML engineers and architects, software developers plus AI enthusiasts and studenta and educators, and leaders who want to evangelize within organizatios
Details Amazon Bedrock setup procedure, management of model life cycles, and integration with Amazon SageMaker Covers data privacy, and responsible AI practices, guiding readers in meeting ethical standards and regulations Demonstrates capabilities of generative AI techniques and unlocking the full potential of the Amazon Bedrock platform
Autor*in
Avik Bhattacharjee
Themen in »A Practical Guide for Mastering Generative AI Applications Using Amazon Bedrock«
Generative AI Machine Learning AWS Artificial Intelligence Amazon Bedrock Retrieval-Augmented Generation (RAG)