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ML Model Deployment Course

4.56
average rating

Ratings

Beginner

Level

3.0 Hrs

Learning hours

935

Learners

Skills you’ll Learn

About this course

Model Deployment is extremely essential in Machine learning since it gives us the know-how on how to deploy ML models in production. In this course, we will be covering various topics like what Flask is, understanding its capabilities and characteristics, and also differentiating between Django and Flask. We will move on to the advantages and Disadvantages of Flask followed by a look into what model deployment is. We will then dive into the process of model deployment in Flask and understand the various model deployment platforms and options. Lastly, we'll be looking into a case study on Model deployment.

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Course Outline

Introduction to Web Frameworks in Model Deployment
Introduction to Flask in Model Deployment
Model Deployment - Flask vs Django
Model Deployment Platforms and Options
Case Study on Model Deployment

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4.56
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Ratings & Reviews of this Course

Reviewer Profile

5.0

Nice Quick Course to Know the Features That Flask Provides
This was an eye-opening course for me to learn more about Flask. I have used it only as a backend with SQLAlchemy, but I didn't know that it could be used as a frontend. I will search more about it and see what I can do with it.

ML Model Deployment Course

3.0 Learning Hours . Beginner

Why upskill with us?

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1000+ free courses
In-demand skills & tools
access time
Free life time Access

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