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In this course you will learn how to deploy Machine Learning Models using various techniques. You should have basic understanding of Python and Machine Learning before starting on this course.
Creating a Model
Saving a Model
Exporting the Model to another environment
Creating a REST API and using it locally
Creating a Machine Learning REST API on a Cloud virtual server
Creating a Serverless Machine Learning REST API using Cloud Functions
Deploying TensorFlow and Keras models using TensorFlow Serving
Deploying PyTorch Models
Creating REST API for Pytorch Models
Tracking Model training experiments and deployment with MLfLow
25 October 2020
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