Publisher's Synopsis
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!
