Shypd.aiThe largest open index of AI toolsserverless-ml-course is a Research & Education tool that teaches how to build AI-enabled prediction services. It focuses on serverless machine learning for deploying models and features without requiring Kubernetes or cloud computing expertise.
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The serverless-ml-course is an open-source educational resource designed to simplify the development and operation of AI-enabled prediction services. It teaches how to build batch and real-time prediction services using Python, focusing on serverless infrastructure. The course covers essential MLOps fundamentals such as versioning, testing, data validation, and operations, enabling users to deploy features and models, train models, and run inference pipelines. A key differentiator is its emphasis on building a prediction service around a model without needing extensive operations experience, making it accessible for those who can program in Python but are not cloud computing experts. It also guides users on building serverless UIs for their prediction services.
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