Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
3 Hour(s) 56 Minute(s)
Language
English
Taught by
Jordan Sauchuk, Ligency , Juan Pablo Mejia, SuperDataScience Team
Rating
1 views
Course Overview
Use web development tools Node.JS, React and Flask to deploy your Data Science models to web apps!
As the world of Data Science progresses, more engineers and professionals need to deploy their work. Whether it's to test, to obtain user input, or simply to demostrate the model capabilites, it's becoming fundamental for data professionals to know the best ways to deploy their models. Moreover, being able to deploy models will not only help the data science field become more versatile and in-demand, but it will also benefit the development and ops teams, transforming you into a key player in your workplace.
So, are you ready to jump in and learn how to use the most powerful web development technologies and boost your data science career?
Welcome to the Machine Learning Model Deployment with Flask, React & NodeJS course!
Learn how to take a Data Science or Machine Learning model and deploy it to a Web App and API using some of the most in-demand and popular technologies, including Flask, NodeJS, and ReactJS. Get ready to take a DS model and deploy it in a practical and hands-on manner, simulating a real-world scenario that can be applied to industry practices.
Once you're done with the course, you'll have real experience to show hiring managers and stand out among all the other data professionals!
Course Content
- 9 section(s)
- 57 lecture(s)
- Section 1 Introduction
- Section 2 Web Theory
- Section 3 Frontend - Getting Started
- Section 4 Frontend - React Basics
- Section 5 Building The Backend
- Section 6 Section 6 - Building The Backend
- Section 7 Section 7 - Deploy The Application
- Section 8 Build Our Frontend
- Section 9 Other Deployment Options
What You’ll Learn
- Understand the differences between front and back end development
- Learn the core information and concepts regarding development
- Learn how to integrate a data science model into web development
- Deploy data science models as APIs and connect them to the front end
Reviews
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AAman Ali
So far so good
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RRafael Mendes
I do feel misled, as I was expecting not one line to be the whole thing about machine learning. I was even thinking that would be an explanation, and how to achieve that, I felt that was a control + v of a line, and that is it, you learned "machine learning model", I do feel I lost my money!
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PPyi Bhone Kyaw
EASY TO LEARN
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MMichael Okungbowa
Great course
