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Deploying Machine Learning Models - A Complete Guide

Learn to Deploy Machine Learning Models. Learn about Server and Serverless Frameworks Both using Python

Course Description

Learn to Deploy Machine Learning Models. Learn about Server and Server less Frameworks Both using Python

So , YOU HAVE A MACHINE LEARNING MODEL and IT IS WORKING Well ! NOW, WHAT ?

This course will help you in Deploying your Machine Learning Models in all Possible Ways Possible. We will be use Server Based and Server Less Frameworks both.

In This Course, You will Learn :-

  • Introduction

  • Flask Basics

  • PROJECT : Deploying Breast Cancer Machine Learning Model using Flask

  • Containerizing the Breast Cancer Model using Docker

  • Streamlit Basics

  • PROJECT : Deploying Heart Disease Machine Learning Model using Streamlit

  • Containerizing the Heart Disease ML Model using Docker

  • Serverless and AWS Basics

  • AWS Lambda Basics

  • PROJECT : Deploying Diabetes Prediction Machine Learning Model using AWS Lambda

  • General Overview of AWS Sagemaker

  • XgBoost using Sagemaker - Breast Cancer Classification

  • Hosting a Custom ML Model Using Sagemaker - Credit Card Fraud Detection

  • PROJECT : Deploying  Model using Sagemaker, AWS Lambda and API Gateway - Diabetes Prediction

We know that you're here because you value your time and Money.By getting this course, you can be assured that the course will explain everything in detail and if there are any doubts in the course, we will answer your doubts in less than 12 hours.

All the project Files are available for you.
So, What are you waiting for? Go Click on the Buy button and let's explore this exciting journey of Deploying Machine Learning Models

I will be waiting for you inside the course...

Goals

  • Learn the Basics of Flask
  • Learn to Deploy Machine Learning Model using Flask
  • Learn the Basics of Steamlit
  • Learn to Deploy Machine Learning Model using Streamlit
  • Learn Serverless and AWS Lambda
  • Learn to Deploy Machine Learning Model using Serverless and Lambda
  • Learn Basics of Docker
  • Learn to Deploy Machine Learning Model using Docker Container
  • Learn To Deploy model on AWS Sagemaker
  • Learn about Model Training and End Point Hosting on Sagemaker

Prerequisites

  • Basic of Machine Learning
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Curriculum

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Deploying Machine Learning Models - A Complete Guide
This Course Includes
  • 7.5 hours
  • 109 Lectures
  • 1 Resources
  • Completion Certificate Sample Certificate
  • Lifetime Access Yes
  • Language English
  • 30-Days Money Back Guarantee

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