Project Bonsai, Machine Teaching for Autonomous Systems [Build 2020]
May 19, 2020

Project Bonsai, Machine Teaching Service for Building and Operating Autonomous Systems, Now in Public Preview

Microsoft is announcing the public preview of Project Bonsai, Microsoft’s machine teaching service to create and optimize intelligence for industrial control systems. Project Bonsai is the first service component of Microsoft’s vision to empower customers to build, operate and manage autonomous systems. With Project Bonsai, subject-matter experts can add state-of-the-art intelligence to their most dynamic physical systems and processes without needing a background in AI.

Machine teaching enables the ability to incorporate knowledge from experts rather than extracting knowledge from data alone. Through machine teaching, developers and engineers can specify desired outcomes or behaviors, concepts to be taught, and safety criteria that must be met. The machine teaching approach enables users to have a clear understanding of how the AI agents work and debug when they don’t. These AI agents can be deployed in a manner that best suits operational needs: to the edge, cloud, or the device.

Microsoft is also announcing Project Moab, a new open-source balancing robot to help engineers and developers learn how to build real-world autonomous control systems with Project Bonsai. Customers can 3D print the robot, and availability for purchase will be announced later in the year.

Visit the Azure blog to learn more.

If your organization is interested in learning more about Azure’s upcoming Teaching Service for Autonomous Systems, please contact Octavian Technology Group by email at
Cameron Vetter
My name is Cameron Vetter and I'm the Principal Architect at the Octavian Technology Group.
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