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

Inhaltsangabe

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

• 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

• 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

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