Artificial intelligence is transforming industries, but building an AI model is only half the battle. The real challenge lies in deploying, scaling, and maintaining AI models in real-world applications. Deploying AI Models: From Research to Real-World Applications is a step-by-step guide that helps you transition AI models from the research phase to production-ready systems.
This book, the 13th installment in the AI from Scratch series, focuses on practical AI deployment strategies—from cloud and edge deployment to on-premises solutions, API integration, and MLOps automation. You’ll explore how to optimize model performance, manage data pipelines, monitor AI systems, and ensure security and compliance.
Whether you are a machine learning engineer, data scientist, software developer, or AI enthusiast, this book provides the technical insights and real-world case studies needed to successfully deploy AI models at scale.
What You’ll Learn
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Paperback. Etat : new. Paperback. Artificial intelligence is transforming industries, but building an AI model is only half the battle. The real challenge lies in deploying, scaling, and maintaining AI models in real-world applications. Deploying AI Models: From Research to Real-World Applications is a step-by-step guide that helps you transition AI models from the research phase to production-ready systems. This book, the 13th installment in the AI from Scratch series, focuses on practical AI deployment strategies-from cloud and edge deployment to on-premises solutions, API integration, and MLOps automation. You'll explore how to optimize model performance, manage data pipelines, monitor AI systems, and ensure security and compliance. Whether you are a machine learning engineer, data scientist, software developer, or AI enthusiast, this book provides the technical insights and real-world case studies needed to successfully deploy AI models at scale. What You'll LearnAI Model Lifecycle - Understand the transition from research to productionCloud Deployment - Deploy AI models on AWS SageMaker, Google Vertex AI, and Azure MLEdge AI Deployment - Optimize and run AI models on mobile and IoT devicesOn-Premises AI Deployment - Deploy AI using Kubernetes, Docker, and private serversMLOps & Automation - Implement CI/CD pipelines for continuous model updatesMonitoring & Maintenance - Detect model drift, optimize performance, and retrain modelsSecurity & Ethics - Address privacy concerns, AI bias, and compliance regulationsIndustry Case Studies - Learn from AI deployment in healthcare, finance, e-commerce, and moreWho Should Read This Book?AI Practitioners & Researchers - Learn how to take AI models beyond researchMachine Learning Engineers & Data Scientists - Master AI deployment best practicesSoftware Developers - Integrate AI models into applications via APIs and microservicesBusiness Leaders & AI Strategists - Understand how to implement scalable AI solutionsWhy This Book?Hands-On Approach - Practical examples and deployment scriptsComprehensive Coverage - Cloud, edge, on-premises, APIs, and MLOps in one bookReal-World Case Studies - Learn from successful AI deployments across industriesFuture-Proof Your Skills - Stay ahead with the latest AI deployment trendsBy the end of this book, you will be fully equipped to deploy AI models efficiently and at scale-ensuring that your AI solutions deliver real-world impact. Turn your AI models into powerful, production-ready applications today! This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798310661011
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Paperback. Etat : new. Paperback. Artificial intelligence is transforming industries, but building an AI model is only half the battle. The real challenge lies in deploying, scaling, and maintaining AI models in real-world applications. Deploying AI Models: From Research to Real-World Applications is a step-by-step guide that helps you transition AI models from the research phase to production-ready systems. This book, the 13th installment in the AI from Scratch series, focuses on practical AI deployment strategies-from cloud and edge deployment to on-premises solutions, API integration, and MLOps automation. You'll explore how to optimize model performance, manage data pipelines, monitor AI systems, and ensure security and compliance. Whether you are a machine learning engineer, data scientist, software developer, or AI enthusiast, this book provides the technical insights and real-world case studies needed to successfully deploy AI models at scale. What You'll LearnAI Model Lifecycle - Understand the transition from research to productionCloud Deployment - Deploy AI models on AWS SageMaker, Google Vertex AI, and Azure MLEdge AI Deployment - Optimize and run AI models on mobile and IoT devicesOn-Premises AI Deployment - Deploy AI using Kubernetes, Docker, and private serversMLOps & Automation - Implement CI/CD pipelines for continuous model updatesMonitoring & Maintenance - Detect model drift, optimize performance, and retrain modelsSecurity & Ethics - Address privacy concerns, AI bias, and compliance regulationsIndustry Case Studies - Learn from AI deployment in healthcare, finance, e-commerce, and moreWho Should Read This Book?AI Practitioners & Researchers - Learn how to take AI models beyond researchMachine Learning Engineers & Data Scientists - Master AI deployment best practicesSoftware Developers - Integrate AI models into applications via APIs and microservicesBusiness Leaders & AI Strategists - Understand how to implement scalable AI solutionsWhy This Book?Hands-On Approach - Practical examples and deployment scriptsComprehensive Coverage - Cloud, edge, on-premises, APIs, and MLOps in one bookReal-World Case Studies - Learn from successful AI deployments across industriesFuture-Proof Your Skills - Stay ahead with the latest AI deployment trendsBy the end of this book, you will be fully equipped to deploy AI models efficiently and at scale-ensuring that your AI solutions deliver real-world impact. Turn your AI models into powerful, production-ready applications today! This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798310661011
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