Building Scalable Autonomous Ai Systems With Amazon Bedrock
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Building Scalable Autonomous Ai Systems With Amazon Bedrock
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Author : RONALD. TAYLOR
language : en
Publisher:
Release Date : 2025
Building Scalable Autonomous Ai Systems With Amazon Bedrock written by RONALD. TAYLOR and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with categories.
Building Scalable Autonomous Ai Systems With Amazon Bedrock
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Author : RONALD. TAYLOR
language : en
Publisher: Independently Published
Release Date : 2025-02-21
Building Scalable Autonomous Ai Systems With Amazon Bedrock written by RONALD. TAYLOR and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-21 with Computers categories.
Building Scalable, Autonomous AI Systems with Amazon Bedrock is the definitive guide for developers, AI architects, and business leaders looking to harness the power of serverless, agentic AI workflows. This book provides a step-by-step, hands-on approach to building intelligent, context-aware AI applications using Amazon Bedrock, retrieval-augmented generation (RAG), and multi-agent systems. Whether you are optimizing enterprise automation, scaling autonomous AI assistants, or integrating AI with real-world applications, this book delivers actionable insights and production-grade strategies. From mastering agentic AI architecture and secure code execution to implementing bias mitigation, explainability, and compliance guardrails, this book covers everything needed to design and deploy powerful AI-driven solutions. Learn how to leverage AWS Lambda, EventBridge, and serverless computing for cost-efficient, high-performance AI applications while ensuring security, reliability, and ethical AI governance. Key topics include: ✔ Agentic AI Systems with RAG - How AI agents retrieve, reason, and act autonomously ✔ Building Scalable, Cost-Optimized AI Pipelines - Real-world use cases in finance, healthcare, and customer support ✔ Multi-Agent Architectures and Cognitive AI Frameworks - Developing self-directed, multimodal AI ✔ AI and Emerging Technologies - Integrating blockchain, IoT, and quantum computing for next-gen AI systems Perfect for AI engineers, AWS developers, and tech innovators, this book offers cutting-edge techniques to future-proof your AI applications in an era of autonomous, scalable, and responsible AI.
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
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.
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.
Serverless Agentic Workflows With Amazon Bedrock
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Author : BRIAN. PITMAN
language : en
Publisher: Independently Published
Release Date : 2025-02-19
Serverless Agentic Workflows With Amazon Bedrock written by BRIAN. PITMAN and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-19 with Computers categories.
Serverless Agentic Workflows with Amazon Bedrock: Mastering Agentic AI for Building Self-Directed, Scalable Systems with Integrated Tools, Code Execution, and Responsible Guardrails is your definitive guide to the next generation of intelligent systems. This book unites the power of Amazon Bedrock generative AI and cutting-edge serverless architectures to create context-aware, multimodal applications that are designed to work autonomously in real-world environments. Inside, you will explore how to master generative AI applications, build self-directed AI systems, and design modern agentic architectures that leverage Retrieval-Augmented Generation (RAG) for dynamic, intelligent decision-making. From practical, step-by-step instructions in Python to deep dives into cognitive frameworks for agentic AI, this book offers comprehensive insights into building multi-agent systems that are not only scalable and efficient but also ethically responsible. Learn to integrate external tools, connect seamlessly with CRMs and support repositories, and orchestrate multiple agent actions to create truly autonomous AI systems. Whether you are focused on building innovative, context-aware applications on AWS, mastering agentic RAG architectures, or preparing for the artificial intelligence revolution, this book provides the practical, hands-on approach you need. Designed for engineers, architects, and business leaders, this practical guide to innovation in AI equips you with the skills to future-proof your organization. By blending detailed code illustrations with robust architectural insights, it shows you how to create intelligent systems that meet real-world demands while adhering to best practices for responsible deployment. Transform your approach to AI with a resource that is as forward-thinking as it is practical. Embrace the future of autonomous, agentic AI systems and revolutionize your organization with strategies that drive efficiency, innovation, and lasting success.
Mastering Serverless Agentic Ai
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Author : BRIAN. PITMAN
language : en
Publisher: Independently Published
Release Date : 2025-02-21
Mastering Serverless Agentic Ai written by BRIAN. PITMAN and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-21 with Computers categories.
Mastering Serverless Agentic AI: Build Scalable, Autonomous AI Agents-Optimize Workflows, Automate Decisions, and Seamlessly Integrate with Cloud Services Using Serverless Architecture Unlock the future of AI with Mastering Serverless Agentic AI, the ultimate guide to building intelligent, autonomous systems that scale effortlessly in the cloud. This groundbreaking book provides a comprehensive, hands-on approach to designing, deploying, and managing serverless AI agents capable of reasoning, decision-making, and real-world interaction using cutting-edge technologies like Amazon Bedrock, Retrieval-Augmented Generation (RAG), LangChain, AWS API Gateway, and OpenSearch. Whether you're an AI engineer, cloud architect, or enterprise innovator, this book equips you with actionable strategies to develop context-aware, multimodal, and self-directed AI agents that seamlessly integrate with APIs, databases, and external tools. You'll explore advanced Agentic AI architectures, leverage multi-agent systems, and implement secure, scalable AI pipelines using best practices in serverless computing and modern cloud frameworks. Key topics include: Building AI-driven chatbots, virtual assistants, and decision-making agents Implementing advanced memory systems with vector databases and contextual retrieval Connecting AI agents to APIs for real-world automation and business intelligence Harnessing AWS Bedrock, OpenSearch, and API Gateway for enterprise-grade AI applications Optimizing RAG-based architectures for next-generation AI-powered workflows Securing AI agents with IAM policies, responsible AI practices, and compliance frameworks Scaling AI agents across cloud and edge computing for maximum efficiency With step-by-step tutorials, real-world use cases, and expert insights, this book serves as your practical roadmap to mastering autonomous AI systems in production environments. If you're ready to future-proof your AI skills and stay ahead of the next wave of AI innovation, Mastering Serverless Agentic AI is your essential resource.
Educational Technology Integrating Technology Into Teaching And Learning
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Author : Pradeep Singh
language : en
Publisher: KDP amazon
Release Date : 2024-09-30
Educational Technology Integrating Technology Into Teaching And Learning written by Pradeep Singh and has been published by KDP amazon this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-30 with Education categories.
This book is a comprehensive guide that bridges the gap between general and educational psychology. It delves into the principles of psychology relevant to learning and teaching, emphasizing the role of teachers’ attitudes and behavior, diverse learning types, and the impact of Information and Communication Technologies (ICT) in identifying teaching and learning barriers. On the other hand, “Empowering Students Through Inclusive Education” is a seminal work focusing on inclusive education, particularly in the context of South Africa. It advocates for the transformative role of ICT in education and explores strategies to support students with special needs in mainstream classrooms. The book underscores the philosophy of equity and diversity and discusses how ICT can facilitate cognitive skills development in learners experiencing learning barriers. It also highlights the use of Augmentative and Alternative Communication Technology in empowering learners to overcome communication barriers. Together, these books provide a holistic view of education psychology and inclusive education, offering valuable insights for educators, students, and policymakers. Add reaction
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
Building Agentic Ai Systems
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Author : Anjanava Biswas
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-04-21
Building Agentic Ai Systems written by Anjanava Biswas 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 2025-04-21 with Computers categories.
Master the art of building AI agents with large language models using the coordinator, worker, and delegator approach for orchestrating complex AI systems Key Features Understand the foundations and advanced techniques of building intelligent, autonomous AI agents Learn advanced techniques for reflection, introspection, tool use, planning, and collaboration in agentic systems Explore crucial aspects of trust, safety, and ethics in AI agent development and applications Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionGain unparalleled insights into the future of AI autonomy with this comprehensive guide to designing and deploying autonomous AI agents that leverage generative AI (GenAI) to plan, reason, and act. Written by industry-leading AI architects and recognized experts shaping global AI standards and building real-world enterprise AI solutions, it explores the fundamentals of agentic systems, detailing how AI agents operate independently, make decisions, and leverage tools to accomplish complex tasks. Starting with the foundations of GenAI and agentic architectures, you’ll explore decision-making frameworks, self-improvement mechanisms, and adaptability. The book covers advanced design techniques, such as multi-step planning, tool integration, and the coordinator, worker, and delegator approach for scalable AI agents. Beyond design, it addresses critical aspects of trust, safety, and ethics, ensuring AI systems align with human values and operate transparently. Real-world applications illustrate how agentic AI transforms industries such as automation, finance, and healthcare. With deep insights into AI frameworks, prompt engineering, and multi-agent collaboration, this book equips you to build next-generation adaptive, scalable AI agents that go beyond simple task execution and act with minimal human intervention.What you will learn Master the core principles of GenAI and agentic systems Understand how AI agents operate, reason, and adapt in dynamic environments Enable AI agents to analyze their own actions and improvise Implement systems where AI agents can leverage external tools and plan complex tasks Apply methods to enhance transparency, accountability, and reliability in AI Explore real-world implementations of AI agents across industries Who this book is for This book is ideal for AI developers, machine learning engineers, and software architects who want to advance their skills in building intelligent, autonomous agents. It's perfect for professionals with a strong foundation in machine learning and programming, particularly those familiar with Python and large language models. While prior experience with generative AI is beneficial, the book covers foundational concepts for those new to agentic systems.