Accelerate your career in one of the fastest-growing cloud technology fields: IoT. This program will teach you the device programming, data analytics, machine learning, and solution design skills you need for a successful career in IoT. Learn the skills necessary to start or progress a career working on a team that implements IoT solutions. Get certified: https://aka.ms/mppiot Create a Free Account (Azure): https://aka.ms/aft-iot

Winvision has leveraged the spatial intelligence capabilities of Azure Digital Twins to build BeSense, a smart building application that provides realtime data that optimizes space utilization and occupant experience. Remco Ploeg, a Solution Architect at Winvision demos the application. Learn more about BeSense: https://www.besense.nl/en Learn more about Winvision: https://www.winvision.nl Learn more about Azure Digital Twins: https://aka.ms/azure-digital-twinsCreate a Free Account (Azure): https://aka.ms/aft-iot

Learn about how to connect other IoT clouds like Sigfox, Particle, and The Things Network to IoT Central with the IoT Central device bridge open-source solution. We'll talk about what the device bridge is and how it works, and demo a device connected to The Things Network use the device bridge to connect to your IoT Central app. Get the IoT Central device bridge in this Github repo: https://github.com/Azure/iotc-device-bridgeAnnouncement blog post: https://azure.microsoft.com/en-us/blog/connect-devices-from-other-iot-clouds-to-azure-iot-central/ Create a Free Account (Azure): https://aka.ms/aft-iot

How about designing and deploying intelligent machine-learned models onto resource constrained platforms and small single-board computers, like Raspberry Pi, Arduino, and micro:bit? How interesting would that be? This is exactly what the open source Embedded Learning Library (ELL) project is about. The deployed models run locally, without requiring a network connection and without relying on servers in the cloud. ELL is an early preview of the embedded AI and machine learning technologies developed at Microsoft Research. Chris Lovett from Microsoft Research gives us a fantastic demo of the project in this episode of the IoT Show. Get the ELL code on GitHub: https://github.com/microsoft/ell

Are you excited about Azure IoT Edge? Then you are going to love TypeEdge because it simplifies the IoT Edge development down to a simple F5 experience. Watch how you can now create a complete Azure IoT Edge application from scratch in your favorite development environment, in just a few minutes. Check out the project on GitHub: https://aka.ms/typeedge Create a Free Account (Azure): https://aka.ms/aft-iot

Customizing the Web UI has never been easier with our recently released in code walkthroughs! Follow along as we customize an out of the box solution and make it our own. Learn more about solution accelerators: https://www.azureiotsolutions.com/AcceleratorsLearn more about customizing the remote monitoring solution: https://docs.microsoft.com/en-us/azure/iot-accelerators/iot-accelerators-remote-monitoring-customizeCreate a Free Account (Azure): https://aka.ms/aft-iot

To help maximize the value of time series data and drive operational intelligence, Azure Time Series Insights introduces support for a broad range of industrial IoT analytics capabilities. Check out, Chandrika Shankarnarayan, Principal PM Manager for Azure Time Series Insights, showing the new capabilities in this space. Learn more about Azure Time Series Insights: https://azure.microsoft.com/en-us/services/time-series-insights/Create a Free Account (Azure): https://aka.ms/aft-iot

Learn about the capabilities of Azure IoT Device Simulation, an open source solution that you can deploy directly to your Azure subscription. And discover how Device simulation helps you build simulated devices that look and behave like the real thing. Try Device SimulationLearn more about Device Simulation Create a Free Account (Azure): https://aka.ms/aft-iot

Here is an example of a smart hotel solution built on Azure Digital Twins. In this episode of the IoT Show, Lyrana Hughes shows how the core spatial intelligence capabilities of Azure Digital Twins power the Smart Hotel 360 demo and shares where you can access the demo content on GitHub so you can start building your own solution. Deploy your instance of the Smart Hotel 360 demo: https://github.com/Microsoft/SmartHotel360-IoTLearn more about Azure Digital Twins: https://aka.ms/azure-digital-twinsCreate a Free Account (Azure): https://aka.ms/aft-iot

Oh no! Pizza cat is having a hard time knowing if his pizzas are being delivered purr-fectly. Customers have been complaining about cold pizzas being delivered to the wrong houses! Come see how Pizza Cat uses a Remote Monitoring solution to save his Pizza company. Learn more about Azure IoT solution accelerators: https://www.azureiotsolutions.com/Accelerators Create a Free Account (Azure): https://aka.ms/aft-iot