Deploying Models with MLflow - Creating a REST API locally with MLflow serving

Top rated Udemy course for Model Deployment - Models in database, Models in browser, Models in Cloud, Models as REST API.. expand your ML knowledge with top rated Udemy course for Model deployment !!! 10,000+ students enrolled !!! In this course you will learn how to deploy Machine Learning Models using various techniques. Course Structure: 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 Model Server Deploying PyTorch Models Creating REST API for Pytorch Models Deploying Keras model using using TensorFlow.js and JavaScript MLOps MLflow Deploying NLP models and Twitter Sentiment Analysis