AI edge engineer

In this module, you will:

• Evaluate whether Azure IoT can address the problems associated with large-scale IoT deployment
• Describe how the components of Azure IoT work together to build a cloud-based IoT solution

"Produced in partnership with the University of Oxford – Ajit Jaokar Artificial Intelligence: Cloud and Edge Implementations course"

In this module, you will:

• Evaluate whether IoT Hub can effectively address the problems associated with large-scale IoT deployment
• Describe how the components of IoT hub work together to build IoT applications managed through the cloud

"Produced in partnership with the University of Oxford – Ajit Jaokar Artificial Intelligence: Cloud and Edge Implementations course"

In this module, you will:

• Evaluate situations where IoT Edge can help in deploying IoT applications to the cloud
• Describe the components of IoT Edge
• List the capabilities of the IoT Edge for the IoT solutions in the cloud

"Produced in partnership with the University of Oxford – Ajit Jaokar Artificial Intelligence: Cloud and Edge Implementations course"

In this module, you will:

• Launch a module from Azure portal to IoT Edge
• Generate simulated data from an edge device
• Verify data generated from the edge device

"Produced in partnership with the University of Oxford – Ajit Jaokar Artificial Intelligence: Cloud and Edge Implementations course"

In this module, you will:

• Launch a module from Azure portal to IoT Edge using a container
• Generate simulated data from an edge device
• Verify data generated from the edge device

"Produced in partnership with the University of Oxford – Ajit Jaokar Artificial Intelligence: Cloud and Edge Implementations course"

In this module, you will:

• Explain how Azure Functions implements business logic with IoT devices
• Decide whether Azure Functions is right choice for your IoT solution

"Produced in partnership with the University of Oxford – Ajit Jaokar Artificial Intelligence: Cloud and Edge Implementations course"

In this module, you will:

• Configure an IoT device to an IoT Hub
• Integrate Cognitive Speech Service into an Azure function
• Deploy an Azure function app
• Test your Azure function app with an IoT device

"Produced in partnership with the University of Oxford – Ajit Jaokar Artificial Intelligence: Cloud and Edge Implementations course"

In this module, you will:

• Implement a cognitive service for performing language detection on an edge device
• Describe how the components and services of a solution to deploy a cognitive service on an edge device work together to solve the problem of language detection on an edge device.

"Produced in partnership with the University of Oxford – Ajit Jaokar Artificial Intelligence: Cloud and Edge Implementations course"

In this module, you will:

• Evaluate whether MLOps is appropriate to automate your machine learning model building and deployment processes for edge devices
• Describe how the MLOps pipeline and components work together to deploy and retrain machine learning models on edge devices

"Produced in partnership with the University of Oxford – Ajit Jaokar Artificial Intelligence: Cloud and Edge Implementations course"

In this module, you will:

• Create a pipeline that deploys a smoke test using virtual IoT Edge devices

"Produced in partnership with the University of Oxford – Ajit Jaokar Artificial Intelligence: Cloud and Edge Implementations course"

In this module, you will:

• Evaluate whether Azure Sphere is right product for creating secure IoT applications
• Describe how the components of an Azure Sphere work together to create end-to-end secure environment for IoT devices

"Produced in partnership with the University of Oxford – Ajit Jaokar Artificial Intelligence: Cloud and Edge Implementations course"

In this module, you will:

• Implement image classification on a microcontroller device using a pre-trained neural network model.
• Describe how the components and services of Azure Sphere work to deploy a pre-trained image classification model.

"Produced in partnership with the University of Oxford – Ajit Jaokar Artificial Intelligence: Cloud and Edge Implementations course"

In this module, you will:

• Create an Azure IoT hub and a Device Provisioning Services
• Configure your Azure Sphere device application to send telemetry to Azure IoT Hub
• Build and deploy the Azure Sphere device application
• View the environment telemetry using Azure Iot Explorer
• Control an Azure Sphere device application by using Azure IoT Hub device twins and direct methods
• Deploy a new more sensitive room sensor onto an Azure Sphere real-time core running Azure RTOS
• Read the data from the new sensor running on the real-time core and send the data to IoT Hub

"Produced in partnership with the University of Oxford – Ajit Jaokar Artificial Intelligence: Cloud and Edge Implementations course"

In this module, you will:

• Create an Azure IoT Central application
• Configure your Azure Sphere application to Azure IoT Central
• Build and deploy the Azure Sphere application
• Display environment telemetry in the Azure IoT Central dashboard
• Control an Azure Sphere application by using Azure IoT Central properties and commands
• Deploy a new more sensitive room sensor onto an Azure Sphere real-time core running Azure RTOS
• Read the data from the new sensor running on the real-time core and send the data to IoT Central

"Produced in partnership with the University of Oxford – Ajit Jaokar Artificial Intelligence: Cloud and Edge Implementations course"

In this module, you will:

• Use a pre-trained image classification module with Azure Cognitive Services
• Deploy your solution to the IoT Edge using VS Code
• Verify a module that running successfully

Produced in partnership with the University of Oxford – Ajit Jaokar Artificial Intelligence: Cloud and Edge Implementations course

In this module, you will:

• Use Live Video Analytics to build video analytics solution with Custom Vision
• Deploy a set of modules to an IoT Edge virtual machine using the installer
• Set up an application that uses the virtual device for rapid inference at the edge
• Deploy a solution that will enable you to watch images with defects through a web application

"Produced in partnership with the University of Oxford – Ajit Jaokar Artificial Intelligence: Cloud and Edge Implementations course"

In this module, you will:

• Use Live Video Analytics on IoT Edge module to build a video analytics solution
• Deploy a set of modules to an IoT Edge virtual machine using the installer
• Set up an application that uses a virtual device for rapid inference at the edge
• Bring an AI model of your choice into the video analytics solution
• Test a solution that will detect a person at the edge from a web application

"Produced in partnership with the University of Oxford – Ajit Jaokar Artificial Intelligence: Cloud and Edge Implementations course"