Deployment of Machine Learning Models in Production Python

Deployment of Machine Learning Models in Production Python Free Download. Deploy ML Model with BERT, DistilBERT, FastText NLP Models in Production with Flask, uWSGI, and NGINX at AWS EC2

Deployment of Machine Learning Models in Production Python 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.

Requirements

  • Introductory knowledge of NLP
  • Comfortable in Python, Keras, and TensorFlow 2
  • Basic Elementary Mathematics

Embedded Development with Qt5 from scratch!

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

Who this course is for:

  • AI Students eager to learn advanced techniques of text processing
  • Data Science enthusiastic to build end-to-end NLP Application
  • Anyone wants to strengthen NLP skills
  • Anyone want to deploy ML Model in Production
  • Data Scientists who want to learn Production Ready ML Model Deployment

Deployment of Machine Learning Models in Production Python Free Download

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HOW TO DOWNLOAD COURSE

Content From: https://www.udemy.com/course/nlp-with-bert-in-python/

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