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Machine Learning Deep Learning Model Deployment


Machine Learning Deep Learning Model Deployment


Machine Learning Deep Learning Model Deployment Deploy Model Python Pickle Flask Serverless REST API TensorFlow Serving Keras PyTorch MLOps MLflow Cloud GCP New

Black Friday Sale
Current priceRp149,000
Original PriceRp279,000
Discount47% off

What you'll learn

  • Machine Learning Deep Learning Model Deployment techniques
  • Simple Model building with Scikit-Learn , TensorFlow and PyTorch
  • Deploying Machine Learning Models on cloud instances
  • TensorFlow Serving and extracting weights from PyTorch Models
  • Creating Serverless REST API for Machine Learning models
  • Machine Learning experiment and deployment using MLflow


  • Prior Machine Learning and Deep Learning background required but not a must have as we are covering Model building process also


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 Serving
  • Deploying PyTorch Models
  • Creating REST API for Pytorch Models
  • Tracking Model training experiments and deployment with MLfLow

Python basics and Machine Learning model building with Scikit-learn will be covered in this course. You will also learn how to build and deploy a Neural Network using TensorFlow Keras and PyTorch. Google Cloud (GCP) free trial account is required to try out some of the labs designed for cloud environment.

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