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 ...
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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 AI Model Lifecycle - Understand the transition from research to production Cloud Deployment - Deploy AI models on AWS SageMaker, Google Vertex AI, and Azure ML Edge AI Deployment - Optimize and run AI models on mobile and IoT devices On-Premises AI Deployment - Deploy AI using Kubernetes, Docker, and private servers MLOps & Automation - Implement CI/CD pipelines for continuous model updates Monitoring & Maintenance - Detect model drift, optimize performance, and retrain models Security & Ethics - Address privacy concerns, AI bias, and compliance regulations Industry Case Studies - Learn from AI deployment in healthcare, finance, e-commerce, and more Who Should Read This Book? AI Practitioners & Researchers - Learn how to take AI models beyond research Machine Learning Engineers & Data Scientists - Master AI deployment best practices Software Developers - Integrate AI models into applications via APIs and microservices Business Leaders & AI Strategists - Understand how to implement scalable AI solutions Why This Book? Hands-On Approach - Practical examples and deployment scripts Comprehensive Coverage - Cloud, edge, on-premises, APIs, and MLOps in one book Real-World Case Studies - Learn from successful AI deployments across industries Future-Proof Your Skills - Stay ahead with the latest AI deployment trends By 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!
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Add this copy of Deploying AI Models: From Research to Real-World to cart. $24.14, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2025 by Independently Published.
Add this copy of Deploying Ai Models: From Research to Real-World to cart. $30.27, new condition, Sold by Just one more Chapter rated 3.0 out of 5 stars, ships from Miramar, FL, UNITED STATES, published 2025 by Independently published.
