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Home > Computing and Information Technology > Computer science > Artificial intelligence > Deploying AI Models: From Research to Real-World Applications(13 AI from Scratch: Step-By-Step Guide to Mastering Artificial Intelligence)
Deploying AI Models: From Research to Real-World Applications(13 AI from Scratch: Step-By-Step Guide to Mastering Artificial Intelligence)

Deploying AI Models: From Research to Real-World Applications(13 AI from Scratch: Step-By-Step Guide to Mastering Artificial Intelligence)


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About the Book

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!



Product Details
  • ISBN-13: 9798310661011
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 279 mm
  • No of Pages: 328
  • Returnable: N
  • Spine Width: 18 mm
  • Weight: 811 gr
  • ISBN-10: 8310661010
  • Publisher Date: 13 Feb 2025
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Series Title: 13 AI from Scratch: Step-By-Step Guide to Mastering Artificial Intelligence
  • Sub Title: From Research to Real-World Applications
  • Width: 216 mm


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