Deploying Machine Learning Models – A Complete Guide
Learn to Deploy Machine Learning Models. Learn about Server and Server less Frameworks Both using Python
Are you ready to kickstart your ML Deployment 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 and other Cloud Servers.
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 :–
PROJECT : Deploying Breast Cancer Machine Learning Model using Flask
Containerizing the Breast Cancer Model using Docker
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
Courses : 3
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