Deploy a Computer Vision App in a Serverless Environment
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Learn to deploy a computer vision application in a serverless environment. Explore serverless architecture, cloud platforms, and how to deploy scalable computer vision models without worrying about infrastructure management.
At a Glance
Learn how to make your object detection application available to the world by deploying to a serverless environment. Focus on building your app instead of buying, installing or configuring servers.
About
Serverless has quickly become one of the hottest topics among developers, but what is it exactly? Serverless is a cloud-native deployment model that allows developers to build and run applications without having to manage servers and other infrastructure. Once deployed, serverless apps respond to demand and automatically scale up and down as needed. Serverless offerings from public cloud providers are usually metered based on demand. As a result, when a serverless function is sitting idle, it doesn’t cost anything.
A Look at the Project Ahead
– Describe how you can build a python appplication in a Docker image
– Understand basic Docker commands to run Docker containers
– Deploy your object detection web app to IBM Code Engine
What You’ll Need
Everything else is provided to you via the IBM Skills Network Labs environment, where you will have access to the Cloud IDE and a Docker installation that we offer as part of the IBM Skills Network Labs environment.
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