Parkinson Detector App Deployment (Part2 iBest Workshop)
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Learn how to deploy a serverless AI model using Docker containers and Kubernetes. This guided project shows you how to deploy a Parkinson detection app in just 10 minutes, without requiring front-end or back-end development knowledge. Get free resources on IBM Cloud to experiment and share your AI model. Discover step-by-step instructions on using IBM Code Engine, a fully managed, serverless platform, to deploy your AI application on IBM Cloud. Start deploying your AI model today!
At a Glance
Do you want to deploy a serverless AI model like a software engineer using technologies such as Docker containers and Kubernetes? This guided project will show you how to deploy a Parkinson detection app in 10 mins. On the one hand, this project does not require knowledge of front-end and back-end development. On the other hand, the model deployment comes at no cost! You get free resources on IBM Cloud to experiment with deploying the AI model you like and share the app.
In this project, we will show you step-by-step how to use IBM Code Engine to deploy your AI application on IBM Cloud. IBM Code Engine is a fully managed, serverless platform that provides an abstraction for the underlying infrastructure required to deploy your apps and lets you focus on the source code only (such as the Python code). The following picture shows an example of the Parkinson’s detection model. On the left-hand side, the user provides the input of a voice-recorded number and returns an output on the right-hand side.
Learning Objectives
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