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pablomarin committed Oct 17, 2023
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Expand Up @@ -21,7 +21,7 @@ The repo is made to teach you step-by-step on how to build a OpenAI-based Smart
| VBD Accreditation for CSAs | Links for CSAs to get the Accreditation needed to deliver the workshop | [Link 1](https://learningplayer.microsoft.com/activity/s9261799/launch) , [Link 2](https://learningplayer.microsoft.com/activity/s9264662/launch) |
| VBD 3-5 day POC Asset (IP) | The MVP to be delivered (this GitHub repo) | [Azure-Cognitive-Search-Azure-OpenAI-Accelerator](https://github.com/MSUSAzureAccelerators/Azure-Cognitive-Search-Azure-OpenAI-Accelerator) |
| VBD Workshop Deck | The deck introducing and explaining the workshop | [Intro AOAI GPT Azure Smart Search Engine Accelerator.pptx](https://github.com/MSUSAzureAccelerators/Azure-Cognitive-Search-Azure-OpenAI-Accelerator/blob/main/Intro%20AOAI%20GPT%20Azure%20Smart%20Search%20Engine%20Accelerator.pptx) |
| CSA Training Video | 2 Hour Training for Microsoft CSA's | [POC VBD Training Recording](https://microsoft-my.sharepoint.com/:v:/p/jheseltine/EbxoBjWHJ-NJsnAM3qWXvVQBTK28SW7hgIrn7KaAJ77yaA?e=abiunn) |
| CSA Training Video | 2 Hour Training for Microsoft CSA's | [POC VBD Training Recording](https://microsoft.sharepoint.com/teams/CSUDataAI/_layouts/15/stream.aspx?id=%2Fteams%2FCSUDataAI%2FShared%20Documents%2FTech%20Talk%2FAI%20%26%20ML%2FAOAI%203%2DDay%20Workshop%20Training%2FAzure%20OpenAI%20%5F%20VBD%20Delivery%20Training%20%5F%20Option%201%2D20230607%5F090249%2DMeeting%20Recording%20%281%29%2Emp4&referrer=Teams%2ETEAMS%2DELECTRON&referrerScenario=p2p%5Fns%2Dbim&ga=1) |


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* The customer team and the Microsoft team must have Contributor permissions to this resource group so they can set everything up 2 weeks prior to the workshop
* A storage account must be set in place in the RG.
* Customer Data/Documents must be uploaded to the blob storage account, at least two weeks prior to the workshop date
* Multi-Tenant App Registration (Service Principal).
* For IDE collaboration and standarization during workshop, AML compute instances with Jupyper Lab will be used, for this, Azure Machine Learning Workspace must be deployed in the RG
* Note: Please ensure you have enough core compute quota in your Azure Machine Learning workspace

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