Machine Learning Model Deployment using Flask
Enroll in this online free course to learn about Model Deployment and Flask, their key features, architecture, and the approach for using Flask to deploy a Machine Learning Model into production through different platforms.
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1.5 Hrs
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About this course
This Machine Learning Model Deployment using Flask course will begin with a brief explanation of what Model Deployment is, and will also look at some of Model Deployment’s key features along with essential real-world examples. Next, you will learn how to deploy an application using Flask with the help of a case study. You will learn to solve the case study step-by-step, giving you the time to learn about the deployment process and execution mode and to achieve the desired output. In the last phase of this course, we will draw an architecture comparison and will also be taught about the various Model Deployment options and platforms. Looking to build a successful career in Machine Learning or enthused about Data? Enroll in this PG Program with Artificial Intelligence & Machine Learning with full career support and an exclusive online mentorship.
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Course Outline
Architecture Comparison and Model Deployment Platforms
You will learn about the different ways a model can be deployed and make an architecture comparison. It will also throw light on Model Deployment Options & Model Deployment Platforms.
Introduction to Model Deployment
In this chapter, you will learn what Model Deployment is, some common examples of it, and key features of Model Deployment Architecture like Modularity, Reproducibility, Scalability, Extensibility & Testing.
Deploying Application on Flask
You will be taken through a case study to predict salary, understand what Flask is, the steps to deploy an application using Flask, execute the model step-by-step, and display the output on the screen.
Model Deployment Options
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