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
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