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.
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SKILLS YOU WILL GAIN
End-to-End Data Science and Machine Learning Deployment
How to create Flask APIs
How to deploy model in production
How to make your machine learning models accessible via cloud
WHAT YOU WILL LEARN
Python Programming
Flask
Model Deployment on AWS, Azure, Google Cloud, Heroku, Streamlit
Google Colab, Jupyter Notebook