Models Using Flask and FastAPI focuses on deploying machine learning and deep learning models as scalable web services using Python frameworks. It enables organizations to convert trained models into production-ready APIs for real-time inference and integration with applications. This training explains how to build RESTful APIs using Flask and FastAPI to serve ML models efficiently. It also covers request handling, serialization, authentication, asynchronous processing (FastAPI), and performance optimization techniques. You will learn how enterprises deploy AI models into production environments for web, mobile, and enterprise systems. The course also highlights best practices for building secure, scalable, and high-performance model deployment architectures.
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