Renaldi Gondosubroto – författare

With the GenAI boom showing no sign of letup, the demand for AI skills will only increase with time and innovation. Microsoft Azure leads the pack with services for developing and deploying AI solutions, so professionals looking to break into this field should consider pursuing certification as an Azure AI Engineer Associate.Azure's AI-102 exam isn't a piece of cake, but author Renaldi Gondosubroto makes it a great deal more approachable with this comprehensive study guide. Packed with expert guidance, it covers everything you'll need to know to pass the exam. You'll dive deep into all the phases of AI solutions development, from requirements definition and design to development, deployment, and integration, along with maintenance, performance tuning, and monitoring throughout.The book also takes you through practical implementation of these systems, covering decision support, computer vision, natural language processing, knowledge mining, document intelligence, and generative AI solutions.Understand the core concepts of Azure AI servicesDevelop and deploy AI solutions within Azure's environmentExplore integration and security practices with Azure AI servicesOptimize and troubleshoot AI models on AzureGain knowledge about building GenAI solutions on Azure and put it into practice

With the GenAI boom showing no sign of letup, the demand for AI skills will only increase with time and innovation. Microsoft Azure leads the pack with services for developing and deploying AI solutions, so professionals looking to break into this field should consider pursuing certification as an Azure AI Engineer Associate.Azure's AI-102 exam isn't a piece of cake, but author Renaldi Gondosubroto makes it a great deal more approachable with this comprehensive study guide. Packed with expert guidance, it covers everything you'll need to know to pass the exam. You'll dive deep into all the phases of AI solutions development, from requirements definition and design to development, deployment, and integration, along with maintenance, performance tuning, and monitoring throughout.The book also takes you through practical implementation of these systems, covering decision support, computer vision, natural language processing, knowledge mining, document intelligence, and generative AI solutions.Understand the core concepts of Azure AI servicesDevelop and deploy AI solutions within Azure's environmentExplore integration and security practices with Azure AI servicesOptimize and troubleshoot AI models on AzureGain knowledge about building GenAI solutions on Azure and put it into practice

With the GenAI boom showing no sign of letup, the demand for AI skills will only increase with time and innovation. Microsoft Azure leads the pack with services for developing and deploying AI solutions, so professionals looking to break into this field should consider pursuing certification as an Azure AI Engineer Associate.Azure's AI-102 exam isn't a piece of cake, but author Renaldi Gondosubroto makes it a great deal more approachable with this comprehensive study guide. Packed with expert guidance, it covers everything you'll need to know to pass the exam. You'll dive deep into all the phases of AI solutions development, from requirements definition and design to development, deployment, and integration, along with maintenance, performance tuning, and monitoring throughout.The book also takes you through practical implementation of these systems, covering decision support, computer vision, natural language processing, knowledge mining, document intelligence, and generative AI solutions.Understand the core concepts of Azure AI servicesDevelop and deploy AI solutions within Azure's environmentExplore integration and security practices with Azure AI servicesOptimize and troubleshoot AI models on AzureGain knowledge about building GenAI solutions on Azure and put it into practice

A from-scratch roadmap to building generative AI solutions on AWS with Amazon Bedrock In Using Amazon Bedrock: Learn to Architect, Secure and Optimize Generative AI Applications on AWS, accomplished Software Engineer, developer advocate, and AWS Community Builder, Renaldi Gondosubroto, delivers an in-depth walkthrough of Amazon Bedrock, the keystone generative AI service on the Amazon Web Services cloud. Gondosubroto offers a start-to-finish guide of the service and its capabilities, from prompt engineering with foundational models to building applications using the API, working with multimodal models, and fine-tuning. This book provides hands-on instruction on Amazon Bedrock from an experienced developer and AI specialist. It’s packed with real-world code samples, proven best practices, and techniques that result in reliable, secure, and cost-effective generative AI solutions. You’ll also find: Demonstrations of robust governance guardrails and strategies for reducing development timeRepeatable, industry-grade frameworks for continuously iterating and optimizing models in productionContemporary updates that incorporate the latest announcements made by Amazon at the re:Invent conference in December 2024 and beyondPerfect for cloud architects, artificial intelligence engineers, and software engineers, Using Amazon Bedrock is an insightful, original, and practical roadmap to generative AI on AWS that explains the AI fundamentals you need to understand to get started in AWS generative AI development and the hands-on techniques you’ll use every day to transform those concepts into efficient, working solutions.

A from-scratch roadmap to building generative AI solutions on AWS with Amazon Bedrock In Using Amazon Bedrock: Learn to Architect, Secure and Optimize Generative AI Applications on AWS, accomplished Software Engineer, developer advocate, and AWS Community Builder, Renaldi Gondosubroto, delivers an in-depth walkthrough of Amazon Bedrock, the keystone generative AI service on the Amazon Web Services cloud. Gondosubroto offers a start-to-finish guide of the service and its capabilities, from prompt engineering with foundational models to building applications using the API, working with multimodal models, and fine-tuning. This book provides hands-on instruction on Amazon Bedrock from an experienced developer and AI specialist. It s packed with real-world code samples, proven best practices, and techniques that result in reliable, secure, and cost-effective generative AI solutions. You ll also find: Demonstrations of robust governance guardrails and strategies for reducing development time Repeatable, industry-grade frameworks for continuously iterating and optimizing models in production Contemporary updates that incorporate the latest announcements made by Amazon at the re:Invent conference in December 2024 and beyond Perfect for cloud architects, artificial intelligence engineers, and software engineers, Using Amazon Bedrock is an insightful, original, and practical roadmap to generative AI on AWS that explains the AI fundamentals you need to understand to get started in AWS generative AI development and the hands-on techniques you ll use every day to transform those concepts into efficient, working solutions.

A from-scratch roadmap to building generative AI solutions on AWS with Amazon Bedrock

In Using Amazon Bedrock: Learn to Architect, Secure and Optimize Generative AI Applications on AWS, accomplished Software Engineer, developer advocate, and AWS Community Builder, Renaldi Gondosubroto, delivers an in-depth walkthrough of Amazon Bedrock, the keystone generative AI service on the Amazon Web Services cloud. Gondosubroto offers a start-to-finish guide of the service and its capabilities, from prompt engineering with foundational models to building applications using the API, working with multimodal models, and fine-tuning.

This book provides hands-on instruction on Amazon Bedrock from an experienced developer and AI specialist. It’s packed with real-world code samples, proven best practices, and techniques that result in reliable, secure, and cost-effective generative AI solutions. You’ll also find:

Demonstrations of robust governance guardrails and strategies for reducing development time Repeatable, industry-grade frameworks for continuously iterating and optimizing models in production Contemporary updates that incorporate the latest announcements made by Amazon at the re:Invent conference in December 2024 and beyond

Perfect for cloud architects, artificial intelligence engineers, and software engineers, Using Amazon Bedrock is an insightful, original, and practical roadmap to generative AI on AWS that explains the AI fundamentals you need to understand to get started in AWS generative AI development and the hands-on techniques you’ll use every day to transform those concepts into efficient, working solutions.

Kickstart your IoT design and implementation journey with this comprehensive book, covering basics to advanced concepts through practical examples and industry-standard practicesKey FeaturesMaster the different components that make up an IoT system to design and implement solutionsUnlock the powerful capabilities of cloud computing that enhance the efficiency of your IoT deploymentsIntegrate cutting-edge technologies, such as with generative AI, into your IoT projectsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionDevelop the skills essential for building Internet of Things solutions with this indispensable guide. In an era where industries heavily rely on IoT, this book will quickly familiarize you with its foundations, widespread use, implementation guided by best practices, and the crucial technologies that allow it to work effectively.Starting with the use of IoT in real-life scenarios, this book offers comprehensive insights into basic IoT hardware, protocols, and technologies. You’ll then learn about architecting and implementing solutions such as wireless sensor networks, cloud computing with AWS, and crucial security considerations. You’ll understand how these systems are operated and monitored over time and work with simple to complex, industry-grade systems, adhering to best practices. In later chapters, you’ll be apprised of future IoT trends and strategies to manage the risks and opportunities that come with them. You’ll also get to grips with a diverse set of tools, including hardware such as ESP32 and Raspberry Pi, and software such as Mosquitto and ChatGPT for generative AI capabilities.By the end of this IoT book, you’ll be able to independently build and design complex, industry-standard solutions fully aligned with best practices.What you will learnGain a holistic understanding of IoT basics through real-life use casesExplore communication protocols and technologies integral to IoTUse AWS to build resilient, low-latency networksConstruct complex IoT networks, building upon foundational principlesIntegrate data analytics workloads and generative AI seamlessly with IoTUnderstand the security threat landscape of IoT and how to mitigate these risksDevelop industry-grade projects within the open source IoT communityEmbrace a futuristic perspective of IoT by understanding both risks and rewardsWho this book is forThe book is for novice electronics engineers, embedded systems specialists, and IoT developers as well as intermediate practitioners looking to advance in the world of industry-based IoT applications. While no prior knowledge of IoT is assumed, familiarity with at least one programming language is recommended to get the most out of this book.