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Machine Learning Model Deployment with Flask, React & NodeJS

Use web development tools Node.JS, React and Flask to deploy your Data Science models to web apps!
4.1
☆☆☆☆☆ 4.1/5
(73 reviews)
755 students
Created by
Jordan Sauchuk

8.9

Classbaze Grade®

9.3

Freshness

7.8

Popularity

9.0

Material

Detailed Analysis »

Use web development tools Node.JS
Go to course »
Platform: Udemy
Price: check current price
Video: 3h 58m
Language: English
Next start: On Demand

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Classbaze Rating

Classbaze Grade®

8.9 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

9.3 / 10
This course was last updated on 9/2021.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

7.8 / 10
We analyzed factors such as the rating (4.1/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

9.0 / 10
Video Score: 8.2 / 10
The course includes 3h 58m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 5 hours 35 minutes of 540 Data Science courses on Udemy.
Detail Score: 9.0 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.9 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

8 articles.
16 resources.
0 exercise.
0 test.

In this page

About this course

  The course will teach you this
  What you need to START the course
  Who can start this course?
General questions
  Coupons & Discounts
  Guarantees & money back
  Financial aid
Teacher
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About the course

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!

What can you learn from this course?

✓ 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

What you need to start the course?

• We will be using Microsoft Visual Studio code for the course, but all of the libraries and tools are available and are simple installs for Linux/Windows/Mac.

Who is this course is made for?

• Data Scientists who want to take their skills to the next level
• ML/AI engineers that want to know how to deploy models
• DevOps engineers to understand DS model integrations
• Web Developers/Front End Engineers/Back End Engineers
• Any one interested in programming or computer science
• Software engineers or programmers looking to expand their skill set
• In general anyone interested in model deployment and some of the most used libraries in demand today

Are there coupons or discounts for Machine Learning Model Deployment with Flask, React & NodeJS ? What is the current price?

The course costs $14.99. And currently there is a 82% discount on the original price of the course, which was $84.99. So you save $70 if you enroll the course now.
The average price is $11.5 of 540 Data Science courses. So this course is 30% more expensive than the average Data Science course on Udemy.

Will I be refunded if I'm not satisfied with the Machine Learning Model Deployment with Flask, React & NodeJS course?

YES, Machine Learning Model Deployment with Flask, React & NodeJS has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the Machine Learning Model Deployment with Flask, React & NodeJS course, but there is a $70 discount from the original price ($84.99). So the current price is just $14.99.

Who will teach this course? Can I trust Jordan Sauchuk?

Jordan Sauchuk has created 7 courses that got 22,565 reviews which are generally positive. Jordan Sauchuk has taught 242,589 students and received a 4.3 average review out of 22,565 reviews. Depending on the information available, we think that Jordan Sauchuk is an instructor that you can trust.

Learn everything about

Jordan Sauchuk

Senior AI Advisor & Cybersecurity Engineer
I’m a Senior AI Advisor, AI & Cybersecurity Engineer, and also the founder of 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, 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. 
Jordan Sauchuk's full profile and courses »
Go to class »

8.9

Classbaze Grade®

9.3

Freshness

7.8

Popularity

9.0

Material

Detailed Analysis »

Use web development tools Node.JS
Go to course »
Platform: Udemy
Price: check current price
Video: 3h 58m
Language: English
Next start: On Demand

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