خرید و دانلود نسخه کامل کتاب انگلیسی Machine Learning Platform Engineering 2026

This book provides a hands-on guide to designing, building, and operating a production-ready Internal Developer Platform (IDP) for ML and AI systems from the ground up. It covers fundamental MLOps and DevOps practices, teaching readers how to utilize a stack of proven open-source tools such as Kubeflow, MLFlow, BentoML, Evidently, Feast, and LangChain for pipeline orchestration, model deployment, monitoring, and explainability.

Through practical, project-driven examples, it helps data scientists and software engineers streamline data workflows, improve team collaboration, and reliably transition models from experimentation to scalable production environments. The book also features dedicated chapters on designing and productionizing LLM-powered systems.