Generative Ai With Amazon Bedrock
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Generative Ai With Amazon Bedrock
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Author : Shikhar Kwatra
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-07-31
Generative Ai With Amazon Bedrock written by Shikhar Kwatra and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-31 with Computers categories.
Become proficient in Amazon Bedrock by taking a hands-on approach to building and scaling generative AI solutions that are robust, secure, and compliant with ethical standards Key Features Learn the foundations of Amazon Bedrock from experienced AWS Machine Learning Specialist Architects Master the core techniques to develop and deploy several AI applications at scale Go beyond writing good prompting techniques and secure scalable frameworks by using advanced tips and tricks Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe concept of generative artificial intelligence has garnered widespread interest, with industries looking to leverage it to innovate and solve business problems. Amazon Bedrock, along with LangChain, simplifies the building and scaling of generative AI applications without needing to manage the infrastructure. Generative AI with Amazon Bedrock takes a practical approach to enabling you to accelerate the development and integration of several generative AI use cases in a seamless manner. You’ll explore techniques such as prompt engineering, retrieval augmentation, fine-tuning generative models, and orchestrating tasks using agents. The chapters take you through real-world scenarios and use cases such as text generation and summarization, image and code generation, and the creation of virtual assistants. The latter part of the book shows you how to effectively monitor and ensure security and privacy in Amazon Bedrock. By the end of this book, you’ll have gained a solid understanding of building and scaling generative AI apps using Amazon Bedrock, along with various architecture patterns and security best practices that will help you solve business problems and drive innovation in your organization.What you will learn Explore the generative AI landscape and foundation models in Amazon Bedrock Fine-tune generative models to improve their performance Explore several architecture patterns for different business use cases Gain insights into ethical AI practices, model governance, and risk mitigation strategies Enhance your skills in employing agents to develop intelligence and orchestrate tasks Monitor and understand metrics and Amazon Bedrock model response Explore various industrial use cases and architectures to solve real-world business problems using RAG Stay on top of architectural best practices and industry standards Who this book is for This book is for generalist application engineers, solution engineers and architects, technical managers, ML advocates, data engineers, and data scientists looking to either innovate within their organization or solve business use cases using generative AI. A basic understanding of AWS APIs and core AWS services for machine learning is expected.
Generative Ai With Amazon Bedrock
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Author : Shikhar Kwatra
language : en
Publisher:
Release Date : 2024-07-31
Generative Ai With Amazon Bedrock written by Shikhar Kwatra and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-31 with Computers categories.
Become proficient in Amazon Bedrock by taking a hands-on approach to building and scaling generative AI solutions that are robust, secure, and compliant with ethical standards Key Features: - Learn the foundations of Amazon Bedrock from experienced AWS Machine Learning Specialist Architects - Master the core techniques to develop and deploy several AI applications at scale - Go beyond writing good prompting techniques and secure scalable frameworks by using advanced tips and tricks - Purchase of the print or Kindle book includes a free PDF eBook Book Description: The concept of generative artificial intelligence has garnered widespread interest, with industries looking to leverage it to innovate and solve business problems. Amazon Bedrock, along with LangChain, simplifies the building and scaling of generative AI applications without needing to manage the infrastructure. Generative AI with Amazon Bedrock takes a practical approach to enabling you to accelerate the development and integration of several generative AI use cases in a seamless manner. You'll explore techniques such as prompt engineering, retrieval augmentation, fine-tuning generative models, and orchestrating tasks using agents. The chapters take you through real-world scenarios and use cases such as text generation and summarization, image and code generation, and the creation of virtual assistants. The latter part of the book shows you how to effectively monitor and ensure security and privacy in Amazon Bedrock. By the end of this book, you'll have gained a solid understanding of building and scaling generative AI apps using Amazon Bedrock, along with various architecture patterns and security best practices that will help you solve business problems and drive innovation in your organization. What You Will Learn: - Explore the generative AI landscape and foundation models in Amazon Bedrock - Fine-tune generative models to improve their performance - Explore several architecture patterns for different business use cases - Gain insights into ethical AI practices, model governance, and risk mitigation strategies - Enhance your skills in employing agents to develop intelligence and orchestrate tasks - Monitor and understand metrics and Amazon Bedrock model response - Explore various industrial use cases and architectures to solve real-world business problems using RAG - Stay on top of architectural best practices and industry standards Who this book is for: This book is for generalist application engineers, solution engineers and architects, technical managers, ML advocates, data engineers, and data scientists looking to either innovate within their organization or solve business use cases using generative AI. A basic understanding of AWS APIs and core AWS services for machine learning is expected. Table of Contents - Exploring Amazon Bedrock - Accessing and Utilizing Models in Amazon Bedrock - Engineering Prompts for Effective Model Usage - Customizing Models for Enhanced Performance - Harnessing the Power of RAG - Generating and Summarizing Text with Amazon Bedrock - Building Question Answering Systems and Conversational Interfaces - Extracting Entities and Generating Code with Amazon Bedrock - Generating and Transforming Images Using Amazon Bedrock - Developing Intelligent Agents with Amazon Bedrock - Evaluating and Monitoring Models with Amazon Bedrock - Ensuring Security and Privacy in Amazon Bedrock
Generative Ai With Sap And Amazon Bedrock
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Author : Miguel Figueiredo
language : en
Publisher: Springer Nature
Release Date : 2025-02-19
Generative Ai With Sap And Amazon Bedrock written by Miguel Figueiredo and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-19 with Mathematics categories.
Explore Generative AI and understand its key concepts, architecture, and tangible business use cases. This book will help you develop the skills needed to use SAP AI Core service features available in the SAP Business Technology Platform. You’ll examine large language model (LLM) concepts and gain the practical knowledge to unleash the best use of Gen AI. As you progress, you’ll learn how to get started with your own LLM models and work with Generative AI use cases. Additionally, you’ll see how to take advantage Amazon Bedrock stack using AWS SDK for ABAP. To fully leverage your knowledge, Generative AI with SAP and Amazon Bedrock offers practical step-by-step instructions for how to establish a cloud SAP BTP account model and create your first GenAIartifacts. This work is an important prerequisite for those who want to take full advantage of generative AI with SAP. What You Will Learn Master the concepts and terminology of artificial intelligence and GenAI Understand opportunities and impacts for different industries with GenAI Become familiar with SAP AI Core, Amazon Bedrock, AWS SDK for ABAP and develop your firsts GenAI projects Accelerate your development skills Gain more productivity and time implementing GenAI use cases Who this Book Is For Anyone who wants to learn about Generative AI for Enterprise and SAP practitioners who want to take advantage of AI within the SAP ecosystem to support their systems and workflows.
A Practical Guide To Generative Ai Using Amazon Bedrock
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Author : Avik Bhattacharjee
language : en
Publisher: Springer Nature
Release Date : 2025-07-08
A Practical Guide To Generative Ai Using Amazon Bedrock written by Avik Bhattacharjee and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-08 with Computers categories.
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-world 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 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
Using Amazon Bedrock
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Author : Renaldi Gondosubroto
language : en
Publisher: Wiley
Release Date : 2026-03-03
Using Amazon Bedrock written by Renaldi Gondosubroto and has been published by Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-03-03 with Computers categories.
Aws Certified Ai Practitioner A Business Professional S Guide
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Author : Vladimir Provorov
language : en
Publisher: Cloud City Press
Release Date : 2025-04-27
Aws Certified Ai Practitioner A Business Professional S Guide written by Vladimir Provorov and has been published by Cloud City Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-27 with Computers categories.
AWS Certified AI Practitioner: A Business Professional's Guide An exam study guide for AWS exam AIF-C01 Second Edition (April 2025) Unlock the Power of AI on AWS – For Business Professionals Are you a business analyst, project manager, or IT professional looking to harness the potential of AI in your organization? Do you need to understand AI/ML capabilities on AWS without diving deep into the technical implementation? This comprehensive study guide is your key to mastering the AWS Certified AI Practitioner exam (AIF-C01) and advancing your career in the AI-driven business landscape. What You'll Learn: Fundamental concepts of AI, ML, and generative AI in business contexts How to identify and evaluate AI opportunities within your organization Best practices for implementing and managing AI projects on AWS Essential AWS AI services and their business applications Strategies for ensuring responsible and ethical AI development Exam Preparation: All domains and topics of the AWS Certified AI Practitioner exam 70 practice questions and detailed answers for self-assessment and exam readiness Real-world scenarios to test your understanding of AI concepts in business settings Dozens of diagrams, summary tables, and hundreds of links for further reading Perfect for: Business analysts and IT support professionals Marketing and sales professionals Product and project managers Line-of-business and IT managers Written by an experienced AWS Solutions Architect, this unofficial guide translates complex AI concepts into easy-to-understand language for non-technical professionals. With real-world examples, practice questions, and actionable insights, you'll gain the confidence to contribute effectively to AI initiatives and make informed decisions about AI technologies. Prepare for the AWS Certified AI Practitioner exam and position yourself as a valuable asset in the AI revolution. Start your journey to becoming an AI-savvy business professional today!
Modern Data Architecture On Aws
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Author : Behram Irani
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-08-31
Modern Data Architecture On Aws written by Behram Irani and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-31 with Computers categories.
Discover all the essential design and architectural patterns in one place to help you rapidly build and deploy your modern data platform using AWS services Key Features Learn to build modern data platforms on AWS using data lakes and purpose-built data services Uncover methods of applying security and governance across your data platform built on AWS Find out how to operationalize and optimize your data platform on AWS Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMany IT leaders and professionals are adept at extracting data from a particular type of database and deriving value from it. However, designing and implementing an enterprise-wide holistic data platform with purpose-built data services, all seamlessly working in tandem with the least amount of manual intervention, still poses a challenge. This book will help you explore end-to-end solutions to common data, analytics, and AI/ML use cases by leveraging AWS services. The chapters systematically take you through all the building blocks of a modern data platform, including data lakes, data warehouses, data ingestion patterns, data consumption patterns, data governance, and AI/ML patterns. Using real-world use cases, each chapter highlights the features and functionalities of numerous AWS services to enable you to create a scalable, flexible, performant, and cost-effective modern data platform. By the end of this book, you’ll be equipped with all the necessary architectural patterns and be able to apply this knowledge to efficiently build a modern data platform for your organization using AWS services.What you will learn Familiarize yourself with the building blocks of modern data architecture on AWS Discover how to create an end-to-end data platform on AWS Design data architectures for your own use cases using AWS services Ingest data from disparate sources into target data stores on AWS Build data pipelines, data sharing mechanisms, and data consumption patterns using AWS services Find out how to implement data governance using AWS services Who this book is for This book is for data architects, data engineers, and professionals creating data platforms. The book's use case–driven approach helps you conceptualize possible solutions to specific use cases, while also providing you with design patterns to build data platforms for any organization. It's beneficial for technical leaders and decision makers to understand their organization's data architecture and how each platform component serves business needs. A basic understanding of data & analytics architectures and systems is desirable along with beginner’s level understanding of AWS Cloud.
Ultimate Aws Certified Ai Practitioner Aif C01 Exam Guide
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Author : Gaurav H Kankaria
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2025-07-09
Ultimate Aws Certified Ai Practitioner Aif C01 Exam Guide written by Gaurav H Kankaria and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-09 with Computers categories.
TAGLINE Your Complete Roadmap to AWS AI Practitioner Success—Simplified, Practical, and Designed to Help You Pass with Confidence. KEY FEATURES ● Gain in-depth knowledge of AWS AI services, Generative AI, and ethical considerations for business and technical use cases. ● Master essential AWS AI/ML tools to stay ahead in the evolving landscape of cloud-based artificial intelligence solutions. ● Prepare confidently with real-world examples, clear explanations, and targeted exam questions for the AWS AI Practitioner certification. DESCRIPTION In today’s AI-powered world, earning the AWS Certified AI Practitioner (AIF-C01) certification is a powerful way to validate your skills, boost your credibility, and stand out in the competitive cloud job market. Ultimate AWS Certified AI Practitioner (AIF-C01) Exam Guide is a comprehensive, beginner-friendly roadmap for professionals, students, and decision-makers looking to master AI and Machine Learning on AWS—and crack the AIF-C01 exam with confidence. Covering everything from AI and ML fundamentals to core AWS services like SageMaker, Bedrock, and Rekognition, this guide also explores Generative AI, vision and language-based AI use cases, and practical tools for personalization, security, and governance. You'll gain clarity on responsible AI principles, learn to identify and mitigate bias, and confidently navigate AWS best practices in ethics and compliance. Each chapter offers real-world examples, exam strategies, and practice questions designed to reinforce key concepts and simulate the exam environment. Whether you're technical or non-technical, the content is simplified for easy understanding—without sacrificing depth or relevance. If you're serious about working in AI or cloud, this certification isn't just a bonus—it’s becoming a must-have. Don’t miss your chance to stay ahead of the curve—master AWS AI and future-proof your career now. WHAT WILL YOU LEARN ● Understand foundational concepts of AI, Machine Learning, and Generative AI for modern cloud applications. ● Gain hands-on experience with AWS AI/ML services like SageMaker, Bedrock and Rekognition to build intelligent solutions. ● Learn to build, train, fine-tune, and deploy machine learning models using Amazon SageMaker. ● Apply responsible AI practices by identifying and mitigating ethical risks, biases, and fairness issues in AI solutions. ● Secure your AI workloads through AWS best practices in governance, compliance, and data protection. ● Access targeted exam tips, mock questions, and real-world examples to confidently clear the AWS AI Practitioner certification. WHO IS THIS BOOK FOR? This book is ideal for aspiring AI/cloud professionals, tech sales teams, business leaders, and students seeking a foundational understanding of artificial intelligence using AWS. Whether you're new to cloud or aiming to crack the AWS Certified AI Practitioner (AIF-C01) exam, this guide equips you with the essential skills to succeed. TABLE OF CONTENTS 1. Introduction to the AWS AI Practitioner Certification Exam 2. Overview of AI and ML on AWS 3. Core AWS Services and Tools for AI and ML 4. Introduction to Gen AI and AWS Gen AI Services 5. Key Use Cases of Generative AI on AWS 6. Building AI Solutions with Amazon SageMaker 7. Other AWS AI Services 8. Ethics, Bias, and Responsible AI Practices 9. Security and Governance Best Practices for AI 10. Exam Tips, Practice Questions, and the Future of AI Index
Navigating The Ai Frontier Understanding The Benefits And Challenges Of Artificial Intelligence Across Industries
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Author : Dr. Arun B Prasad
language : en
Publisher: Xoffencerpublication
Release Date : 2023-08-21
Navigating The Ai Frontier Understanding The Benefits And Challenges Of Artificial Intelligence Across Industries written by Dr. Arun B Prasad and has been published by Xoffencerpublication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-21 with Transportation categories.
The consistent development of information technology (IT) paves the way for companies to make the shift to digital work as their principal mode of operation. This is made feasible by the rapid progress of IT. As a consequence of this, employers are putting pressure on employees to adapt to new forms of employment, which may include less interaction with other people but more interaction with information technology. However, as a consequence of these new ways of doing things, workers won't be able to carry out their responsibilities with the same principles and beliefs that they have been used to bringing to the table in the past. The continual upheaval that takes place in the workplace has the potential to influence the self-beliefs that constitute a person's professional identity at work, also known as the perception of one's function in the workplace. This is because self beliefs are sensitive to being influenced by the perception of one's function in the workplace. The act of having one's identity questioned by an experience that is in direct opposition to who they are may result in a decline in one's sense of self-worth as well as a potential threat to the integrity of one's identity. As a consequence of this, it is possible that activities that are targeted at maintaining self-esteem connected with identity will be necessary in light of the fact that the landscape and experiences of a number of professions have been transformed as a result of the development of technology. The digitization of workplaces is directly responsible for the growing popularity of digital labour as the normal operating procedure in organisations. One of the primary factors that is driving this discussion is the continuing development of artificial intelligence (AI), which can be defined as "the ability of a machine to perform cognitive functions that we associate with human minds, such as perceiving, reasoning, learning, interacting with the environment, problem-solving, decision-making, and even demonstrating creativity." Artificial intelligence is put to use in many different capacities within the field of digital labour, including (managerial) decision making, data analysis and prediction work, or (human-AI) interaction. 1 | P a ge Because of this, artificial intelligence will continually bring about changes to working environments and professions, perhaps putting the lives of people whose jobs are replaced by computers in jeopardy. On the other hand, this might lead to a reduction in value if the people who utilise AI systems have major variances in their perspectives. In addition, the use of AI has the potential to contribute to the growth of ambiguity and the invasion of individuals' right to personal privacy. The phrase "dark side of AI" is often used to refer to this undesirable phenomenon, which outlines the ways in which AI offers risks for individuals, businesses, and society as a whole. However, the adoption of AI in enterprises may not only eliminate or modify current jobs but also create new sectors of labour, such as in the disciplines of engineering, programming, or even social domains. This is because AI may be able to perform some or all of the tasks associated with these vocations. This is due to the fact that AI is capable of learning new things and adjusting to its surroundings. There is an ongoing sense of optimism over artificial intelligence and the economic effects that it will have (Selz, 2020). The public discourse about artificial intelligence has been more optimistic over the last several years; despite this, the concern that AI would displace current jobs continues to outweigh the potential for human and AI collaboration in the future. The interaction between humans and artificial intelligence demonstrates that people's views of AI are based on a wide variety of features to varying degrees. For example, salient signals, affordances, or collaborative interaction may have an effect on a person's emotions and, as a consequence, their intents about artificial intelligence (Shin, 2021). The manner in which an employee applies technology in the course of their work contributes to the formation of that employee's sense of self identity. In order to investigate this matter in a way that is adequate, we are going to adopt the perspective of Carter and who define the word "IT identity" as "the extent to which a person views use of an IT as integral to his or her sense of self." This will allow us to investigate this matter in a manner that is adequate. It is possible that the implementation of AI in the workplace will run opposite to the employees' identification with their activities, which may cause them to engage in resistive behaviours such as an aversion to algorithms on their part. The phenomenon known as "algorithm aversion" is characterised by the fact that employees, when faced with the same conditions as before, prefer to get assistance from a human being rather than from a computer programme. A possible definition of IT identity danger is "the anticipation of harm to an individual's self-beliefs, caused 2 | P a ge by the use of an IT, and the entity it applies to is the individual user of an IT." The individual user of an IT is the entity to whom this definition applies.A term that might be used to describe this obstruction is "IT identity threat." As a consequence of this, having an awareness of the development of upcoming predictors that impact AI resistance based on IT identity risks is very necessary. This is owing to the fact that it is anticipated that the introduction of AI would modify employment inside enterprises, which in turn may have an influence on the identities of the individuals working in such firms.
Aws Certified Machine Learning Engineer Study Guide
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Author : Dario Cabianca
language : en
Publisher: John Wiley & Sons
Release Date : 2025-06-17
Aws Certified Machine Learning Engineer Study Guide written by Dario Cabianca and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-17 with Computers categories.
Prepare for the AWS Machine Learning Engineer exam smarter and faster and get job-ready with this efficient and authoritative resource In AWS Certified Machine Learning Engineer Study Guide: Associate (MLA-C01) Exam, veteran AWS Practice Director at Trace3—a leading IT consultancy offering AI, data, cloud and cybersecurity solutions for clients across industries—Dario Cabianca delivers a practical and up-to-date roadmap to preparing for the MLA-C01 exam. You'll learn the skills you need to succeed on the exam as well as those you need to hit the ground running at your first AI-related tech job. You'll learn how to prepare data for machine learning models on Amazon Web Services, build, train, refine models, evaluate model performance, deploy and secure your machine learning applications against bad actors. Inside the book: Complimentary access to the Sybex online test bank, which includes an assessment test, chapter review questions, practice exam, flashcards, and a searchable key term glossary Strategies for selecting and justifying an appropriate machine learning approach for specific business problems and identifying the most efficient AWS solutions for those problems Practical techniques you can implement immediately in an artificial intelligence and machine learning (AI/ML) development or data science role Perfect for everyone preparing for the AWS Certified Machine Learning Engineer -- Associate exam, AWS Certified Machine Learning Engineer Study Guide is also an invaluable resource for those preparing for their first role in AI or data science, as well as junior-level practicing professionals seeking to review the fundamentals with a convenient desk reference.