Name: Global AI Back Together - Amsterdam
Start: 2021-10-20T18:00:00+02:00
End: 2021-10-20T22:00:00+02:00
Location: Startup Village

Global AI Back Together - Amsterdam

A non-profit organisation focussed on delivering great content to developers.

Thursday.Cloud

Welcome by the Global AI Back Together evening! Organized by Azure Thursday, PyLadies Amsterdam and AIgents.

Startup Village

Join us for an evening of workshops, bring your laptop and we will provide you with the rest! The workshops are run by Henk Boelman (Cloud Advocate at Microsoft), Sjoukje Zaal (CTO Microsoft at Capgemini) and Alyona Galyeva.* To enter the venue a valid QR code is required.=== Program ===18:00 - Open for Walk-In18:30 - 19:00 - A bite to eat19:00 - 19:15 - Keynote19:15 - 21:00 - Start workshops21:00 - 21:30 - Networking and drinks21:30 - End of event* To participate in the workshops the only thing you need to bring is a laptop that can run Visual Studio Code.== Workshop 1 ==The Azure Function that can seeCould have imagined a few years ago that you would be able to create an Azure Function that can tell you what is on your images? Good news, this is now possible with a few lines of code and some sample images.In this hands-on lab you are going to train a ONNX classification Model with the Custom Vision service that will run in an Azure Function. The language of choice is Python and you will use Visual Studio code as the editor and the Azure CLI to manage and create your Azure Resources.At the end of the lab you have a serverless API that can classify Images and learned about how to use the Azure Custom Vision Python SDK to train an ONNX model.==Workshop 2==Train and deploy a PyTorch model using the Azure Machine Learning platform.In this hands-on lab you are going to build and deploy a your own trained vision model to a highly scalable endpoint using Azure Machine Learning.You start with setting up your cloud workspace and learn how to manage your data and make it reusable. Next you will train a PyTorch model using the transfer learning approach and finally you deploy the model wrapped in an API in a managed endpoint.At the end of this hands-on lab you have gone through the complete life-cycle of a model, from data to deployment using the Azure Machine Learning platform.

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Global AI Back Together - Amsterdam

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