Deployment of Machine Learning Models in Production | Python

Deployment of Machine Learning Models in Production | Python

Are you ready to deploy your machine learning models in production at AWS? You will learn each and every steps on how to build and deploy your ML model on

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What you'll learn

• Complete End to End NLP Application
• How to work with BERT in Google Colab
• How to use BERT for Text Classification
• Deploy Production Ready ML Model
• Fine Tune and Deploy ML Model with Flask
• Deploy ML Model in Production at AWS
• Deploy ML Model at Ubuntu and Windows Server
• DistilBERT vs BERT
• Optimize your NLP Code
• You will learn how to develop and deploy FastText model on AWS
• Learn Multi-Label and Multi-Class classification in NLP

Description

Are you ready to kickstart your  Advanced NLP course? Are you ready to deploy your machine learning models in production at AWS? You will learn each and every steps on how to build and deploy your ML model on a robust and secure server at AWS.

Prior knowledge of python and Data Science is assumed. If you are AN absolute beginner in Data Science, please do not take this course. This course is made for medium or advanced level of Data Scientist.

You should have an introductory knowledge of Python, Machine Learning, and Natural Language Processing before enrolling in this course otherwise please do not enroll in this course. This is an advanced NLP course.