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Model Deployment using Heroku

4.34
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Beginner

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0.75 Hrs

Learning hours

6.8K+
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About this Course

In order to start using a model for practical decision-making, it needs to be effectively deployed into production. If you cannot reliably get practical insights from your model, then the impact of the model is severely limited. So, what is the deployment model? How to work on it? In this deployment model course, we shall learn how to deploy our data science/machine learning models using Heroku. The Heroku platform gives a collection of capabilities delivering higher-order value. There is no requirement to learn server configuration, tuning the latest version of the database, or network management with Heroku. This Model Development using Heroku course will walk you through step by step process of deploying a model using Heroku. You can also learn ml model deployment using flask to get some practical insights.

Some top universities in the world, like the University of Texas at Austin and SRM Institute of Science and Technology, have designed the best post-graduate artificial intelligence online courses and degree programs by collaborating with Great Learning. These programs are amongst the best in the industry, ranking #1 in India. The highest-rated faculty have prepared the online AIML course curriculum to provide learners with advanced AIML skills and techniques. In addition, several AIML professionals from top-notch companies provide learners with personalized mentorship, guiding them to become successful in their careers.

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Course Outline

Introduction to Heroku
Step to Deploy Application on Heroku
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.

 

 

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Model Deployment using Heroku

0.75 Learning Hours . Beginner

Why upskill with us?

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