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AI Basics in the Developer Sandbox

Build, deploy, test your own AI/ML model with OpenShift AI, and integrate with an Apache Camel application using OpenShift Dev Spaces in the Developer Sandbox.

Get started with the tutorial

Note

If using the Developer Sandbox for the first time, you'll be required to register for a Red Hat account.

To launch this tutorial, you only need 2 steps:

1. If you haven't already done so, click the link below to provision the tutorial:

   _{(right-click & open in new tab)}
   Provision Tutorial in the Developer Sandbox

2. _{(In VS Code, open Readme.md in preview mode, if not showing automatically)}

   Once provisioned, from VS Code in DevSpaces, unfold the ENDPOINTS group in the left panel, open the Tutorial documentation and make sure you choose the AI-basics - Lab tile to get started, as per the actions in the picture below:

   Mouse actions in VS Code to open the tutorial.

How to recover from failed workspace

Sometimes the provisioning process goes wrong.
Try following the steps below to delete the failed workspace and restart.

1. Click Workspaces at the top of the screen as illustrated below.
   Dev Spaces's dashboard will open.

2. Find the ⋮ button (failed workspace).

3. Select Delete Workspace

4. In the confirmation panel, tick the box, and click Delete

Mouse actions in VS Code to delete failed workspace.

After the actions above, retry provisioning your lab.
Jump back to:

• Get started with the tutorial

Introduction

This repository contains a collection of labs runnable in the Developer Sandbox, a free to use OpenShift environment, where users can follow guided instructions to fully cover the material in a fully remote development platform.

The following article in Red Hat Developers guides readers on how to get started to enjoy the learning material in the Developer Sandbox.

• ​​Try OpenShift AI and integrate with Apache Camel