featurestoreorg/serverless-ml-course
Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features
This project helps machine learning practitioners build and deploy intelligent prediction services that use ML models to make decisions, without needing to be an expert in cloud infrastructure. It takes trained ML models and raw data as input, and outputs real-time or batch prediction services, often with a simple user interface. Data scientists, ML engineers, or anyone who has built an ML model and wants to integrate it into a real-world application would use this.
682 stars. No commits in the last 6 months.
Use this if you have a machine learning model and want to deploy it as a continuously running service for making predictions, without managing servers or complex infrastructure.
Not ideal if you are a beginner to machine learning or Python programming and need an introduction to these core concepts before building deployment pipelines.
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Jupyter Notebook
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CC0-1.0
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Last pushed
Sep 24, 2024
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