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- Module 1: University of Oxford
- 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
- Module 2: University of Oxford
- 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
- Module 3: University of Oxford
- 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
- Module 4: University of Oxford
- Launch a module from Azure portal to IoT Edge
- Generate simulated data from an edge device
- Verify data generated from the edge device
- Module 5: University of Oxford
- 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
- Module 6: University of Oxford
- Explain how Azure Functions implements business logic with IoT devices
- Decide whether Azure Functions is right choice for your IoT solution
- Module 7: University of Oxford
- 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
- Module 8: University of Oxford
- 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.
- Module 9: University of Oxford
- 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
- Module 10: This module implements CICD pipeline for edge devices
- Create a pipeline that deploys a smoke test using virtual IoT Edge devices
- Module 11: University of Oxford
- 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
- Module 12: University of Oxford
- 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.
- Module 13: Develop highly secure IoT solutions with Azure Sphere, Azure RTOS and Azure IoT Hub
- 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
- Module 14: Develop highly secure IoT solutions with Azure Sphere, Azure RTOS and Azure IoT Central
- 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
- Module 15: This is a computer vision solution using Azure IoT Edge
- 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
- Module 16: This module helps learner to deploy void detection solution using Live Video Analytics and Custom Vision
- 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
- Module 17: This module helps learner to deploy object detection solution using Live Video Analytics on IoT Edge.
- 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
In this module, you will:
"Produced in partnership with the University of Oxford – Ajit Jaokar Artificial Intelligence: Cloud and Edge Implementations course"
In this module, you will:
"Produced in partnership with the University of Oxford – Ajit Jaokar Artificial Intelligence: Cloud and Edge Implementations course"
In this module, you will:
"Produced in partnership with the University of Oxford – Ajit Jaokar Artificial Intelligence: Cloud and Edge Implementations course"
In this module, you will:
"Produced in partnership with the University of Oxford – Ajit Jaokar Artificial Intelligence: Cloud and Edge Implementations course"
In this module, you will:
"Produced in partnership with the University of Oxford – Ajit Jaokar Artificial Intelligence: Cloud and Edge Implementations course"
In this module, you will:
"Produced in partnership with the University of Oxford – Ajit Jaokar Artificial Intelligence: Cloud and Edge Implementations course"
In this module, you will:
"Produced in partnership with the University of Oxford – Ajit Jaokar Artificial Intelligence: Cloud and Edge Implementations course"
In this module, you will:
"Produced in partnership with the University of Oxford – Ajit Jaokar Artificial Intelligence: Cloud and Edge Implementations course"
In this module, you will:
"Produced in partnership with the University of Oxford – Ajit Jaokar Artificial Intelligence: Cloud and Edge Implementations course"
In this module, you will:
"Produced in partnership with the University of Oxford – Ajit Jaokar Artificial Intelligence: Cloud and Edge Implementations course"
In this module, you will:
"Produced in partnership with the University of Oxford – Ajit Jaokar Artificial Intelligence: Cloud and Edge Implementations course"
In this module, you will:
"Produced in partnership with the University of Oxford – Ajit Jaokar Artificial Intelligence: Cloud and Edge Implementations course"
In this module, you will:
"Produced in partnership with the University of Oxford – Ajit Jaokar Artificial Intelligence: Cloud and Edge Implementations course"
In this module, you will:
"Produced in partnership with the University of Oxford – Ajit Jaokar Artificial Intelligence: Cloud and Edge Implementations course"
In this module, you will:
Produced in partnership with the University of Oxford – Ajit Jaokar Artificial Intelligence: Cloud and Edge Implementations course
In this module, you will:
"Produced in partnership with the University of Oxford – Ajit Jaokar Artificial Intelligence: Cloud and Edge Implementations course"
In this module, you will:
"Produced in partnership with the University of Oxford – Ajit Jaokar Artificial Intelligence: Cloud and Edge Implementations course"
Overview
Syllabus
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- Module 1: Introduction to Azure IoT
- Introduction
- What is Azure IoT?
- How Azure IoT works
- When to use Azure IoT
- Knowledge check
- Summary
- Module 2: Introduction to Azure IoT Hub
- Introduction
- What is IoT Hub?
- How IoT Hub works
- When to use IoT Hub
- Knowledge check
- Summary
- Module 3: Introduction to Azure IoT Edge
- Introduction
- What is IoT Edge?
- How IoT Edge works
- When to use IoT Edge
- Knowledge check
- Summary
- Module 4: Deploy a pre-built module to the Edge device
- 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
- Module 5: Train and package an Azure machine learning module for deployment to IoT Edge device
- 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
- Module 6: Introduction to Azure Functions for IoT
- Introduction
- What are Azure Functions for IoT?
- How Azure Functions for IoT work
- When to use Azure Functions for IoT
- Knowledge check
- Summary
- Module 7: Connecting IoT devices to Cognitive Services using Azure Functions
- 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
- Module 8: Run Cognitive Services on IoT Edge
- 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
- Module 9: Introduction to MLOps for IoT Edge
- Introduction
- What is MLOps for IoT Edge?
- How MLOps works for IoT Edge
- When to use MLOps for IoT Edge
- Knowledge check
- Summary
- Module 10: Implement CI/CD for IoT Edge
- 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
- Module 11: Introduction to Azure Sphere
- Introduction
- What is Azure Sphere?
- How Azure Sphere works
- When to use Azure Sphere
- Knowledge check
- Summary
- Module 12: Image classification using Azure Sphere
- 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
- Module 13: Develop secure IoT Solutions for Azure Sphere with IoT Hub
- 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
- Module 14: Develop secure IoT solutions for Azure Sphere, Azure RTOS and Azure IoT Central
- 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
- Module 15: Create an image recognition solution with Azure IoT Edge and Azure Cognitive Services
- 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
- Module 16: Void detection on Edge devices with Live Video Analytics using own images and video
- 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
- Module 17: Object detection on Edge devices with Live Video Analytics using YOLO model
- 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
