Deploying Machine Learning Models – A Complete Guide

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

• Streamlight Basics

• PROJECT: Deploying Heart Disease Machine Learning Model using Streamlight

• 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 about 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…

Cosmic