Печатные книги

AI Engineering is a technical book on artificial intelligence engineering practices, aimed at engineers and technical teams who want to deploy AI models from the lab to production environments. Content typically covers: machine learning system architecture, model training and optimization, MLOps (machine learning operations) practices, model deployment and serving, data pipeline construction, model monitoring and iteration, scalability and reliability of AI systems, cost optimization, and AI ethics and safety considerations. The book is suitable for readers with some programming and machine learning foundation, helping them master the engineering skills and best practices needed to build production-grade AI applications.