This repo is still under development - check back often for updates
This repo contains hands-on-labs and other lab and workshop based material designed to support the creation of IoT curricula for higher education, covering IoT and AI on the edge. All the labs use physical devices, such as Raspberry Pis and NVIDIA Jetson boards, and are designed for in-class or at home study. As an educator, you would use these labs in a blended learning environment, teaching concepts and theory in the classroom, mixed with labs from here to supplement the course and provide hands-on experience.
Most of the content here is Microsoft content available in other places - this repo brings some of the content together and provides a single place to find content across different gitHub repos, documentation, Microsoft Learn and other sites.
All the content contained in this repo is free for you to use in your courses however you see fit. We will endeavour to keep the content up to date, but seeing as technology moves fast, things may be missed. If you find any errors in these materials, please either raise an issue, or feel free to raise a PR with the fix.
These labs make use of a variety of hardware, all connected to cloud services. Each lab indicates up front what hardware is required. There is also an overall list for an 'IoT Cart' that provides a complete, all-in-one hardware solution that covers all these labs. This is designed to be a 'course in a box' - you purchase everything on the list and that can be shared between groups of students learning IoT in a more IoT focused degree program, rather than a single course as part of a wider technology-based learning program. Details of the cart are in the cart folder.
The devices folder contains details on setting up the different devices recommended for the IoT Cart.
The labs folder contains details on a range of different labs covering IoT and AI on the edge.
Microsoft Learn is a free, online training platform that provides interactive learning for Microsoft products and more. Our goal is to help you become proficient on our technologies and learn more skills with fun, guided, hands-on, interactive content that's specific to your role and goals.
There are a number of Learning Paths covering IoT technologies, services and solutions. These can form a hands-on component of a blended learning setup in the classroom, or provide a way for students to learn by themselves.
- Azure Fundamentals
- Introduction to internet of things
- Build the intelligent edge with Azure IoT Edge
- Architect API integration in Azure
- Microsoft Power Platform Fundamentals
- Introduction to Azure IoT Hub
- Securely connect IoT devices to the cloud
- Develop IoT solutions with Azure IoT Central
- Create and use analytics reports with Power BI
- Azure for the Data Engineer
- Architect a data platform in Azure
- Implement a Data Warehouse with Azure Synapse Analytics
- Azure Data Fundamentals: Explore core data concepts
- Data engineering with Azure Databricks
- AI edge engineer
- Create machine learning models
- Create no-code predictive models with Azure Machine Learning
- AI business school for manufacturing
- Get started with artificial intelligence on Azure
- Microsoft Azure Artificial Intelligence (AI) strategy and solutions
- Build AI solutions with Azure Machine Learning
- Explore computer vision in Microsoft Azure
- Process and classify images with the Azure Cognitive Vision Services
- Explore natural language processing
- Process and Translate Speech with Azure Cognitive Speech Services
- Evaluate text with Azure Cognitive Language Services
- Bring AI to business users in your organization
- Configure and manage products and inventory in Dynamics 365 Supply Chain Management
- Configure and use lean manufacturing in Dynamics 365 Supply Chain Management
- Configure and use discrete manufacturing in Dynamics 365 Supply Chain Management
Microsoft offers a number of 'solution accelerators' - almost complete IoT setups that can be customized to your needs. As a part of this, there are a number of quickstarts that allow you to try out the different solutions.
- Try a cloud-based remote monitoring solution
- Try a cloud-based solution to manage my industrial IoT devices
- Deploy and run an IoT device simulation in Azure
- Try a cloud-based solution to run a predictive maintenance analysis on my connected devices
The Azure Architecture Center provides guidance for architecting solutions on Azure using established patterns and practices.
- Azure IoT reference architecture
- IoT and data analytics in the construction industry
- Controlling IoT devices using a Voice Assistant
- IoT using Cosmos DB
- IoT Connected Platform for COVID-19 protection
- Contactless interfaces with Azure IoT Edge
- COVID-19 Safe Solutions at the IoT Edge
- Smart and secure lighting and disinfection
- Predictive maintenance with the intelligent IoT Edge
- Ingestion and processing of real-time automotive IoT data
- Create a safe building
- Secure your IoT SaaS app with the Microsoft identity platform
- Azure Industrial IoT Analytics Guidance
For Industrial IoT (IIoT), Microsoft provides a range of reference materials and samples.based around OPC-UA.
- IIoT on Azure documentation - documentation and a solution accelerator for IIoT
- Open62541 - an open source OPC-UA implementation
- OPC-UA with IoT Central - a reference implementation for connecting OPC-Servers to IoT Edge and then passing data up to IoT Central
- IoT Edge offline dashboarding - a set of modules that can be used with Azure IoT Edge to perform dashboarding at the edge
Azure RTOS is an embedded development suite including a small but powerful operating system that provides reliable, ultra-fast performance for resource-constrained devices. It’s easy-to-use and market-proven, having been deployed on more than 6.2 billion devices worldwide. Azure RTOS supports the most popular 32-bit microcontrollers and embedded development tools, so you can make the most of your team’s existing skills.
These labs are designed for courses where Azure resources are provided to students by the institution. To try them out, you can use one of our free subscriptions. Head to the Azure Subscriptions Guide for from information on setting up a subscription.
Microsoft offers a certification in IoT - AZ-220, the Microsoft Certified: Azure IoT Developer Specialty. You can read more about this certification on the Microsoft Certified: Azure IoT Developer Specialty page on Microsoft Learn.
Finding your community is more important than ever as classes and social activities take place virtually. Amplify your impact and bring together your peers to learn new skills, solve real-world problems, and build communities across the globe.
Students can apply to be a Microsoft Learn Student Ambassadors. The Student Ambassadors program provides clear steps to help you learn and lead so you can make a difference and empower those around you.
Student Ambassadors get access to unique resources like our global student network on Microsoft Teams and a Microsoft 365 account, and can earn badges for activities and contributions to unlock additional benefits such as cloud credits.
If you are an educator, encourage your students to sign up for this program to help their peers learn new skills, and to improve employability after their studies.
You can learn more on the Microsoft Learn Student Ambassadors site.
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