Azure Machine Learning is a cloud service for accelerating and managing the machine learning project lifecycle. Machine learning professionals, data scientists, and engineers can use it in their day-to-day workflows: Train and deploy models and manage MLOps. You can create a model in Azure Machine Learning or use a model built from an open-source platform, such as Pytorch, TensorFlow, or scikit-learn. MLOps tools help you monitor, retrain, and redeploy models.
As part of Azure Machine Learning, Automated ML for images (preview) adds support for computer vision tasks, which allows you to easily generate models trained on image data for scenarios like image classification and object detection.
In this session we will review the necessary steps to export and run the trained image identifier model from Azure ML. We will review the available export capabilities in Azure ML, and we will adapt some of the exported models them to be used on an Azure Function.
At the end of the session, we will have a set of options available to use an Azure Function as a serverless API that can classify Images.

Who is it aimed for:

• Developers, Solution architects and Technology managers
• Software developers looking to learn more about Azure Functions

Why should I attend?

• Learn how to create a computer vision application using Azure Machine Learning
• Learn how to deploy the Azure ML Computer Vision application in an Azure Function
• Network with other professionals interested in Azure Functions

Useful Event Resources:
https://aka.ms/WhatisAzureML-ci
https://aka.ms/VisualToolsforML-ci
https://aka.ms/OperateMLSolutions-ci
https://aka.ms/CreateServerlessApps-ci
https://aka.ms/AzureFunctions-ci
https://aka.ms/ConnectServicesTogether-ci

Speaker:
Bruno Capuano, Senior Cloud Advocate, Microsoft
Bruno Capuano currently works as a Sr. Cloud Advocate at Microsoft focused on empowering the Toronto area to build awesome things with Azure. Bruno was a Microsoft MVP for 14 years and has over 20 years of experience as a software developer and loves to tinker with electronics. He lives in a small town near Toronto with his wife and two adorable kids.