Mark Russinovich, Azure CTO, shows how Microsoft Azure enables intelligent, modern and innovative applications at scale in the cloud, on-premises and on the edge.

Mark takes you on a tour of Azure’s datacenter architecture and implementation innovations, describing everything from Azure’s global infrastructure, to how we enable large-scale enterprise scenarios on both cloud and edge, to how we bring quantum computing to real-world scenarios today, and more.

Python is a powerful stack running many websites that you know and love, but it can be difficult to get your development environment running smoothly, especially when using technologies like Docker.

In this session from Build 2019, learn how to set up the ultimate containerized Python development environment in Visual Studio Code, deploy your application to Azure with a few clicks, and use Azure DevOps to automate your deployments.

ML.NET is a free, cross-platform and open source machine learning framework designed to bring the power of machine learning (ML) into .NET applications.

Live from Build 2019, we are joined by Cesar De La Torre Llorente who gives us a great overview of what the goals of ML.NET are, and shares with us some of the highlights of the 1.0 release.

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Here’s a great round up of the announcements coming out of Build 2019 today.

Microsoft is experimenting with features that let developers work from anywhere, on any device. The company today announced a private preview for three such new capabilities: Remote-powered developer tools, cloud-hosted developer environments, and a browser-based web companion tool. If the future of work is remote, Microsoft wants to be ready.

Good news for .NET developers who want to do more AI, but want to leverage their experience with C#.

Instead of glibly telling .NET developers to go learn Python, Microsoft is letting them know that they can now do machine learning work in the more familiar surroundings of the mainstream C# language. ML.NET makes this possible, and Microsoft has a GitHub repo with an array of samples to help .NET developers see how.