Open Source Weekly: Learn more about Microsoft’s AI School

Check out the below recap of this week’s open source related community news, product announcements, popular docs, and demos from around Microsoft.
Anything else you’d like to hear about? Let us know in the comments.
Microsoft AI School: Dive in and learn how to start building intelligence into your solutions with the Microsoft AI platform, including pre-trained AI services like Cognitive Services and Bot Framework, as well as deep learning tools like Azure Machine Learning, Visual Studio Code Tools for AI, and Cognitive Toolkit. Our AI platform enables any developer to code in any language and infuse AI into your apps. Check out the free trainings, including the Python Data Science Notebook and Building Bots with Node.js, here.
Get your speaker proposal in for OSCON 2018: OSCON returns to Portland this summer and we hope to see you there. The call for speakers is still open until next Tuesday, January 30. Regardless of origin or community, all innovative and emerging open source projects, from blockchain to machine learning frameworks, will be at the center of OSCON 2018. Submit your proposal here.
Spring Boot with VSCode and Azure: Xiaokai He stops by to show Donovan Brown the rich Java support within VSCode, a free and open source editor, as well as how you can easily deploy your Spring Boot application to Azure Web App for Containers.

H20.ai on Azure HDInsight: Azure HDInsight is a Hadoop-based fully-managed cloud service that makes it easy, fast, and cost-effective to process massive amounts of data. H2O’s machine learning platform is open source and works with Spark 2.0+, sparklyr, and PySpark. In this video, you’ll learn on how you can install H20.ai on Azure HDInsight to build a big data application.

docs.microsoft.com is the home for Microsoft technical documentation, API reference, code examples, quickstarts, and tutorials for developers and IT professionals. Here are a couple of the recent open source updates:
Improved GitHub builds in Visual Studio Team Services: Did you know that Visual Studio Team Services (VSTS) now supports building from GitHub forks? The VSTS team strengthened integration with GitHub by enabling you to build pull requests from repository forks on GitHub.com and continuously integrate from GitHub Enterprise through an official build source.
Deploy Azure Functions as an IoT Edge module: You can use Azure Functions to deploy code that implements your business logic directly to your IoT Edge devices. This tutorial walks you through creating and deploying an Azure Function that filters sensor data on the simulated IoT Edge device that you created in the Deploy Azure IoT Edge on a simulated device on Windows or Linux tutorials. In this tutorial, you learn how to use Visual Studio Code (VSCode) to create an Azure Function, use VSCode and Docker to create a Docker image, and publish it to your registry. Read more.
Integration of Azure Backup into the Linux VM create experience: The Azure team announced the ability to enable backup on virtual machines from the VM create experience in the portal. Last year, we also announced support for backing up virtual machines from VM management blade. With this announcement, they’re bringing the ability to protect the VMs with an enterprise-grade backup solution from the moment of VM creation. Azure Backup supports backup of wide variety of VMs offered by Azure, including Windows or Linux. Learn more here.
Accelerated Spark on GPU-enabled clusters in Azure: Along with the recent release of the latest GPU SKUs, the Azure team expanded support running Spark on a GPU-enabled cluster using the Azure Distributed Data Engineering Toolkit (AZTK). In a single command, AZTK allows you to provision on demand GPU-enabled Spark clusters on top of Azure Batch’s infrastructure, helping you take your high performance implementations that are usually single-node only and distribute it across your Spark cluster. Check out the Azure blog for more.
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