This session is the second part of a 2-parts events.
Welcome to PiDay !
In this session we will show how we can setup a Raspberry Pi as an Azure IoT Edge device. We will also use a reTerminal from SeeedStudio, as an specific raspberry pi-based device to host and run Machine Learning models on the edge.
We will show the step-by-step process on how to code and create an Azure IoT Edge module to host a Machine Learning model, how to deploy the Edge Module, and how to analyze module telemetry.
We'll share a few implementation options, so you can get some ideas and walk away with a plan to start creating your own Azure IoT solution.
Speaker: 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.
Who is it aimed at?
• Developers, Solution architects and Technology managers.
• Software developers looking to learn more about Azure IoT and Machine Learning.
• Students or learning professionals interested in getting a pulse on Azure IoT and Machine Learning.
Why should I attend?
• Learn how to create ready to use Azure IoT applications.
• Learn how to develop Azure IoT Edge modules for low powered devices with accessible sensors.
• Use analytics capabilities to analyze historical data and correlate telemetry from devices.
• Network with other professionals interested in Azure IoT and Machine Learning
Here are some useful resources for this session:
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