Description
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.
