Get 100percentOFF Coupon For Deployment of Machine Learning Models in Production | Python Course

Course Description:

Welcome to “Deploy ML Mannequin with BERT, DistilBERT, FastText NLP Models in Production with Flask, uWSGI, and NGINX at AWS EC2”! On this course, you’ll learn to deploy pure language processing (NLP) fashions utilizing state-of-the-art strategies similar to BERT and DistilBERT, in addition to FastText, in a manufacturing setting.

You’ll learn to use Flask, uWSGI, and NGINX to create an online software that serves your machine-learning fashions. Additionally, you will learn to deploy your software on the AWS EC2 platform, permitting you to simply scale your software as wanted.

All through the course, you’ll acquire hands-on expertise in establishing and configuring an end-to-end machine-learning manufacturing pipeline. You’ll learn to optimize and fine-tune your NLP fashions for manufacturing use, and methods to deal with scaling and efficiency points.

By the top of this course, you’ll have the talents and data wanted to deploy your personal NLP fashions in a manufacturing setting utilizing the newest strategies and applied sciences. Whether or not you’re an information scientist, machine studying engineer, or developer, this course will offer you the instruments and expertise you could take your machine studying tasks to the subsequent degree.

So, don’t wait any longer and enroll right now to learn to deploy ML Mannequin with BERT, DistilBERT, and FastText NLP Models in Production with Flask, uWSGI, and NGINX at AWS EC2!

This course is appropriate for the next people

  1. Information scientists who need to learn to deploy their machine studying fashions in a manufacturing setting.
  2. Machine studying engineers who need to acquire hands-on expertise in establishing and configuring an end-to-end machine studying manufacturing pipeline.
  3. Builders who’re in utilizing applied sciences similar to NGINX, FLASK, uwsgi, fasttext, TensorFlow, and ktrain to deploy machine studying fashions in manufacturing.
  4. People who need to learn to optimize and fine-tune machine studying fashions for manufacturing use.
  5. Professionals who need to learn to deal with scaling and efficiency points when deploying machine studying fashions in manufacturing.
  6. anybody who needs to make a profession in machine studying and desires to find out about manufacturing deployment.
  7. anybody who needs to be taught in regards to the end-to-end pipeline of machine studying fashions from coaching to deployment.
  8. anybody who needs to find out about the very best practices and strategies for deploying machine studying fashions in a manufacturing setting.

What you’ll be taught in this course

  1. I’ll learn to deploy machine studying fashions utilizing NGINX as an online server, FLASK as an online framework, and uwsgi as a bridge between the 2.
  2. I’ll learn to use fasttext for pure language processing duties in manufacturing and combine it with TensorFlow for extra superior machine studying fashions.
  3. I’ll learn to use ktrain, a library constructed on high of TensorFlow, to simply prepare and deploy fashions in a manufacturing setting.
  4. I’ll acquire hands-on expertise in establishing and configuring an end-to-end machine-learning manufacturing pipeline utilizing the aforementioned applied sciences.
  5. I’ll learn to optimize and fine-tune machine studying fashions for manufacturing use, and methods to deal with scaling and efficiency points.

All this stuff can be carried out on Google Colab which implies it doesn’t matter what processor and laptop you’ve gotten. It’s tremendous simple to make use of and plus level is that you’ve Free GPU to make use of in your pocket book.

Who this course is for:

  • Machine studying engineers who need to acquire hands-on expertise in establishing and configuring an end-to-end machine studying manufacturing pipeline.
  • Information Science enthusiastic to construct end-to-end NLP Utility
  • Information scientists who need to learn to deploy their machine studying fashions in a manufacturing setting.
  • Builders who’re in utilizing applied sciences similar to AWS, NGINX, FLASK, uwsgi, fasttext, TensorFlow, and ktrain to deploy machine studying fashions in manufacturing.
  • People who need to learn to optimize and fine-tune machine studying fashions for manufacturing use.
  • Professionals who need to learn to deal with scaling and efficiency points when deploying machine studying fashions in manufacturing.
  • anybody who needs to make a profession in machine studying and need to be taught in regards to the manufacturing deployment.
  • anybody who needs to be taught in regards to the end-to-end pipeline of machine studying fashions from coaching to deployment.
  • anybody who needs to find out about the very best practices and strategies for deploying machine studying fashions in a manufacturing setting.

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