Build &Deploy Machine Learning on Flask,AWS,Azure,Heroku,GCP

Interested in the field of Data Science and Machine Learning?

Interested in Building Data Science and Machine Learning Projects and Deploy on Platforms such as AWS, Google Cloud, Microsoft Azure, Heroku, Flask, Streamlit?

Interested in learning it the practical way?

Then this course is for you!!

This course has been practically and carefully designed by industry experts to offer the best way of learning Data Science and Machine Learning the practical way with hands–on projects and Deployment throughout the course.

This course will teach step–by–step how to deploy your machine learning models in the cloud as it is done in the industry.

We will walk you through step–by–step on each topic explaining each line of code for your understanding.

There is going to be a lot of fun, excited, and robust projects to better understand each concept under each topic.

We have structured the course in this way:

Projects Deployment Tutorial

        Streamlit project tutorial

        Flask deployment project tutorial

        Heroku deployment project tutorial

       Google cloud deployment project tutorial

       AWS deployment project tutorial

       Microsoft Azure deployment project tutorial

This course aims to help beginners, as well as intermediate data science enthusiasts, learn the most efficient ways to deploy their machine learning models while practicing on the projects to gain a better understanding of the course.