https://github.com/redhat-middleware-workshops/devsandbox-category-ai-basics

Get started setting up AI essentials for your applications
https://github.com/redhat-middleware-workshops/devsandbox-category-ai-basics

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Get started setting up AI essentials for your applications

• Host: GitHub
• URL: https://github.com/redhat-middleware-workshops/devsandbox-category-ai-basics
• Owner: RedHat-Middleware-Workshops
• Created: 2024-06-21T06:48:21.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-12-04T12:57:02.000Z (7 months ago)
• Last Synced: 2025-02-15T08:42:38.718Z (4 months ago)
• Language: Shell
• Size: 8.3 MB
• Stars: 1
• Watchers: 10
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: Readme.md

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README

        
> [!NOTE]  

> If this file is rendered in TEXT mode in VS Code, click the preview button. \

> (upper-right corner, has a `📖+🔍` symbol)

# 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](https://workspaces.openshift.com/#https://github.com/RedHat-Middleware-Workshops/devsandbox-catalog-ai-labs.git)

    

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:

    ![](docs/labs/basics/images/29-ai-open-tutorial.png)

    *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**

![](docs/labs/basics/images/35-recover-workspace.png)

*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](#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](https://developers.redhat.com/articles/2024/07/22/try-openshift-ai-and-integrate-apache-camel)