Machine Learning Model Deployment with Flask, React & NodeJS (Udemy.com)
Use web development tools Node.JS, React and Flask to deploy your Data Science models to web apps!
Created by: Jordan Sauchuk
Last updated December 2023
What you will 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
How it compares
Against the other 155 rated Udemy courses in Machine Learning on CourseDuck:
- Rating4.4 out of 5higher than 49% of them
- Reviews181#108 of 156 by number of reviews
- Length4 hoursshorter than 72% of them
- Last updatedDecember 2023more recently than 56% of them
Course Description
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!
Instructor Details
- 4.4 Rating
181 Reviews
Jordan Sauchuk
I'm a Senior AI Advisor, AI & Cybersecurity Engineer, and also the founder of Global Pioneers & the Threat Intelligence Group. My goal is to help provide my experiences and expertise that have been obtained through extensive research, many late nights, and cups of coffee.
I have been fortunate enough to work on a range of challenging projects worldwide and I have extensive experience specializing in technologies such as Python, Docker, Kubernetes, AWS, Azure, R, JavaScript, C++, PHP, Tensorflow, Pytorch, Scikit-Learn, Keras, ReactJS, NodeJS, SQL, Plotly, Tesseract, Seaborn, and much more.
Recently, I have launched the Threat Intelligence Group as a means of providing cybersecurity awareness, integrating AI into the security domain, and also providing consulting services.
For more information please feel free to reach out to me on LinkedIn and Twitter.
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Reviews
By Mohd Zulfadzli bin Ab Jalil on 6/12/2022
this course has separate frontend and backend. why need to have two server at the same time. not a very good example
By Roger Mario López Justiniano on 5/23/2022
Nice overview of putting a basic AI product into production.
By Ancheng Deng on 3/1/2022
So far so good. The lecture is super clear and intuitive and I'm enjoying along.
By Daniela Gomez on 11/27/2021
Loving the course. Very clear
By Yamini on 11/18/2021
Instructor should share info about path to run npx create-react-app my-app on powershell details are missing
By Vijay Singh on 9/14/2021
The course lacked details in step by step deployment of model. The content was too fast.
By Jorge Mejia on 8/24/2021
Amazing course, I really enjoyed it. The instructors know what they're talking about and transmitted their enthusiasm as much as their knowledge. Great job.
By Roberto Lambertini on 8/23/2021
Great course! I'm just getting started with machine learning and the content is so useful!!
By Barbara Perez on 8/23/2021
¡Excelente curso! Me encanta como los dos instructores presentan el tema.
By Anonymized User on 8/23/2021
Really enjoyed the course!
Quality Score
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Overall Score : 88 / 100






![[2026] Machine Learning: Natural Language Processing (V2)](/programming/machine-learning/images/4294434_daf2_5.jpg?v=1789268237)
