Learn AI through the Microsoft Learn AI Edge Engineer Learning Path in Microsoft Learn Platform. Check the details below!
About Microsoft Learn
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The modules and paths on Microsoft Learn are designed to be interactive, so you can learn by doing. The content on Microsoft Learn is also constantly being updated to reflect the latest changes to Microsoft products and technologies. This makes Microsoft Learn a valuable resource for anyone who wants to stay up-to-date on the latest Microsoft technologies.
About the Course
The interplay between AI, cloud, and edge is a rapidly evolving domain. Currently, many IoT solutions are based on basic telemetry. The telemetry function captures data from edge devices and stores it in a data store. Our approach extends beyond basic telemetry. We aim to model problems in the real world through machine learning and deep learning algorithms and implement the model through AI and Cloud on to edge devices. The model is trained in the cloud and deployed on the edge device. The deployment to the edge provides a feedback loop to improve the business process (digital transformation).
This learning path takes an interdisciplinary engineering approach. It aspires to create a standard template for many complex areas for deployment of AI on edge devices such as Drones, Autonomous vehicles etc. The learning path presents implementation strategies for an evolving landscape of complex AI applications. Containers are central to this approach. When deployed to edge devices, containers can encapsulate deployment environments for a range of diverse hardware. CICD (Continuous integration – continuous deployment) is a logical extension to deploying containers on edge devices. In this learning path, you will:
- Learn about creating solutions using IoT and the cloud
- Understand the process of deploying IoT based solutions on edge devices
- Learn the process of implementing models to edge devices using containers
- Explore the use of DevOps for edge devices
Topics
- Introduction to Azure IoT
- Introduction to Azure IoT Hub
- Introduction to Azure IoT Edge
- Deploy a pre-built module to the Edge device
- Introduction to Azure Functions for IoT
- Connecting IoT devices to Cognitive Services using Azure Functions
- Run Cognitive Services on IoT Edge
- Introduction to MLOps for IoT Edge
- Implement CI/CD for IoT Edge
- Introduction to Azure Sphere
- Image classification using Azure Sphere
- Develop secure IoT Solutions for Azure Sphere with IoT Hub
- Develop secure IoT solutions for Azure Sphere, Azure RTOS and Azure IoT Central
- Create an image recognition solution with Azure IoT Edge and Azure Cognitive Services
- Void detection on Edge devices with Live Video Analytics using own images and video
- Object detection on Edge devices with Live Video Analytics using YOLO model
Eligibility
There are no formal prerequisites for the course.
How to Apply?
Interested candidates can apply directly via this link.
