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"

• Introduction
• What is Azure IoT?
• How Azure IoT works
• When to use Azure IoT
• Knowledge check
• Summary

• Introduction
• What is IoT Hub?
• How IoT Hub works
• When to use IoT Hub
• Knowledge check
• Summary

• Introduction
• What is IoT Edge?
• How IoT Edge works
• When to use IoT Edge
• Knowledge check
• Summary

• Introduction
• Use a pre-built module to generate test data
• Set up communication between IoT Hub and IoT Edge
• Exercise - Set up communication between IoT Hub and IoT Edge
• Deploy a prebuilt module to an IoT Edge device
• Exercise - Deploy a pre-built module to the IoT Edge
• Knowledge check
• Summary

• Introduction
• What is a virtual machine?
• How to set up communication between IoT Hub and IoT Edge
• Exercise - Set up communication between IoT Hub and IoT Edge
• How to create and deploy Azure machine learning modules
• Exercise - Creating and deploying Azure machine learning module
• How to view container repository
• Exercise - Viewing container repository
• How to view generated data
• Exercise - Viewing generated data
• Clean up resources
• Knowledge check
• Summary

• Introduction
• What are Azure Functions for IoT?
• How Azure Functions for IoT work
• When to use Azure Functions for IoT
• Knowledge check
• Summary

• Introduction
• Design Cognitive Services using Azure Functions
• How to configure IoT device to the IoT Hub
• Exercise - Configuring IoT device to the IoT Hub
• Knowledge check
• How to create Azure Cognitive Services
• How to deploy Azure Functions
• How to deploy device code to the IoT device
• Exercise - Deploying Cognitive Services as Azure Functions to the IoT device
• Knowledge check
• Exercise - Customizing Cognitive Services as Azure Functions
• Knowledge check
• Summary

• Introduction
• Design a language detection module on IoT Edge
• How to configure IoT Edge to IoT Hub
• Exercise - Configure IoT Edge to IoT Hub
• How to deploy a cognitive service to an IoT Edge device
• Exercise - Deploying a cognitive service to IoT Edge as a container
• Exercise - Test Cognitive Services on the IoT Edge device
• Knowledge check
• Summary

• Introduction
• What is MLOps for IoT Edge?
• How MLOps works for IoT Edge
• When to use MLOps for IoT Edge
• Knowledge check
• Summary

• Introduction
• Design a CI/CD pipeline for IoT Edge
• How to create a CI pipeline with Azure DevOps
• Exercise - Create a CI pipeline for IoT Edge with Azure DevOps
• How to create a release pipeline with a smoke test
• Exercise - Create a CD release pipeline for IoT Edge with a smoke test
• Knowledge check
• Summary

• Introduction
• What is Azure Sphere?
• How Azure Sphere works
• When to use Azure Sphere
• Knowledge check
• Summary

• Introduction
• Design an image classification model on Azure Sphere
• How to set up Azure Sphere
• Exercise - Set up Azure Sphere
• How to create a real-time image classification application
• Exercise - Create a real-time image classification application
• How to build a real-time image classification application
• Exercise - Build a real-time image classification application
• How to set up display output
• Exercise - Set up display output
• How to deploy a real-time image classification application to Azure Sphere
• Exercise - Deploy a real-time image classification application to Azure Sphere
• Knowledge check
• Summary

• Introduction
• Designing a secure IoT solution
• Learn about Azure Sphere devices
• How to set up Azure Sphere
• Exercise - Set up Azure Sphere
• How to connect a room environment monitor to Azure IoT Hub
• Exercise - Connect a room environment monitor to Azure IoT Hub
• How to secure an Azure Sphere
• Exercise - Secure an Azure Sphere application
• How to deploy a high-level application to your Azure Sphere
• Exercise - Deploy a high-level application to your Azure Sphere
• How to set the room virtual thermostat with Azure IoT Hub device twins
• Exercise - Set room virtual thermostat with Azure IoT Hub device twins
• How to remotely restart your Azure Sphere device with an Azure IoT Hub direct method
• Exercise - Remotely reboot your Azure Sphere device with an Azure IoT direct method
• How to deploy an Azure RTOS real-time sensor application to monitor the room environment
• Exercise - Deploy an Azure RTOS real-time sensor application to monitor the room environment
• How to send Azure RTOS real-time room environment sensor data to IoT Hub
• Exercise - Send Azure RTOS real-time room environment sensor data to IoT Hub
• Knowledge check
• Summary

• Introduction
• Design a secure IoT solution with Azure Sphere
• Supported Azure Sphere devices
• How to set up Azure Sphere
• Exercise - Set up Azure Sphere
• How to connect a room environment monitor to Azure IoT Central
• Exercise - Connect a room environment monitor to Azure IoT Central
• How to secure an Azure Sphere
• Exercise - Secure an Azure Sphere application
• How to deploy a high-level application to your Azure Sphere
• Exercise - Deploy a high-level application to your Azure Sphere
• How to set the room virtual thermostat with Azure IoT device twins
• Exercise - Set the room virtual thermostat with Azure IoT device twins
• How to remotely restart Azure Sphere with Azure IoT direct methods
• Exercise - Remotely reboot Azure Sphere with Azure IoT direct methods
• How to deploy an Azure RTOS real-time sensor application to monitor the room environment
• Exercise - Deploy an Azure RTOS real-time sensor application to monitor the room environment
• How to send Azure RTOS real-time room environment sensor data to IoT Central
• Exercise - Send Azure RTOS real-time room environment sensor data to IoT Central
• Knowledge check
• Summary

• Introduction
• Exercise - Design computer vision solution
• Exercise - Install IoT Edge runtime for Linux
• Create the fruit classification model
• Understand the project structure
• Exercise - Deploy and build the solution
• Monitor your solution
• Knowledge check
• Summary

• Introduction
• Build the video analytics solution on IoT Edge
• How to deploy IoT Edge device
• Exercise - Deploy an IoT Edge device
• How to install Vision on Edge solution
• Exercise - Install Vision Edge Shell
• How to upload a sample video file to your edge device
• Exercise - Upload a video to your edge device to be processed
• How to deploy your solution
• Exercise - Deploy your solution
• Summary

• Introduction
• Build the video analytics solution on IoT Edge
• How to deploy an IoT Edge device
• Exercise - Deploy an IoT Edge device
• How to install Vision on Edge solution
• Exercise - Install Vision Edge Solution
• How to upload a sample video file to your edge device
• Exercise - Upload a sample video to your edge device
• How to build a container image with YOLOv4 TensorFlow Lite model
• Exercise - Build a container image with YOLO model and deploy it to IoT Edge
• How to deploy your solution
• Exercise - Bring your AI model to deploy a video analytics solution
• Summary