The content and the code in this repo are intended for computer science instruction as a collaboration with Microsoft developer advocates and Faculty / Students under the MIT license. Please check back regularly for updated versions.
Source: https://github.com/microsoft/AcademicContent
This repo provides technical resources to help students and faculty learn about Azure and teach others. The content covers cross-platform scenarios in AI and machine learning, data science, web development, mobile app dev, internet of things, and DevOps. It also includes interesting tech talks and engaging, fun tech challenges that Microsoft leads at student hackathons and Imagine Cup.
Important: We are migrating to Microsoft Learn | If you can't find what you're looking for in this repo, check out the 60+ labs on Microsoft Learn too. Many of these labs have their own built-in Azure sandbox making it easier for faculty and students to learn without requiring an Azure Subscription.
Students can get free Azure credits to explore these resources here:
- Azure for Students | $100 in Azure for 12 months with free tier of services - no credit card required with academic verification
- Azure for Students Starter | use select Azure products like App Services for free - no credit card required with academic verification
- Azure Free Account | $200 in Azure for one month with free tier of services - requires a credit card and probably the best fit for faculty evaluating Azure for course instruction unless your organization has a grant or enterprise agreement.
Your feedback is appreciated - please fork this repo and contribute!
To report any issues, please log a GitHub issue. Include the content section, module number, and title, along with any error messages and screenshots.
Learn by doing with our hands-on labs
Check out our hands-on labs that can be used on your own or in the classroom. They also make for fun, easy-to-run workshops!
| Lab Categories | Description |
|---|---|
| AI and Machine Learning | Build bots and apps backed by AI and ML using Azure and Azure Cognitive Services. |
| Azure Services | Deploy serverless code with Azure Functions, run Docker containers, use Azure to build Blockchain networks and more. |
| Big Data and Analytics | Spin up Apache Spark Clusters, Use Hadoop to extract information from big datasets or use Power BI to explore and visualize data. |
| Deep Learning | These labs build on each other to introduce tools and libraries for AI. They're labeled 200-400 level to indicate level of technical detail. |
| Internet-of-Things | Use Azure to collect and stream IoT data securely and in real time. |
| Web Development | Quickly create scalable web apps using Node, PHP, MySQL on easy-to-use tools like Visual Studio Code and GitHub. |
Host great events and hacks
Want to host an event at your school? We can help with the resources below!
| Resource | |
|---|---|
| Events and Hacks | These are keynotes and hack workshops that Microsoft has produced for student events. Feel free to use. Most slides also contain suggested demos and talk tracks. There's also pre-packaged coding challenge to help students explore machine learning. |
| Tech Talks | One-off presentations on emerging or innovative tech topics with speakers notes and demos. |
Other available academic resources
We also have other great educator content to help you use Azure in the classroom.
| Resource | |
|---|---|
| Scripts | Scripts and templates built in PowerShell or BASH to help set up your classroom environment. |
| Azure Guides | Discover what Azure technologies apply to different teaching areas. |
| Course Content | Learning modules to complement existing course instruction. Includes presentations, speaker notes, and hands-on labs. |
Attend our Reactor Workshops
We focus on developing high-quality content for all Cloud, Data Science, Machine Learning, and AI learners. Through workshops, tech talks, and hackathons hosted around the world, come learn and apply new skills to what you're interested in!
| Resource | |
|---|---|
| Reactor Workshops | Content for our First Party Reactor Workshops can be found here. |
| Reactor Locations | Find out schedules, learn more about each space, and see where we are opening a Reactor near you! |
| Resource | |
|---|---|
| Azure Architecture Center | Cloud architecture guides, reference architectures, and example workloads for how to put the pieces of the cloud together |
| Microsoft AI School | Content for students, developers and data scientists to get started and dive deep into the Microsoft AI platform and deep learning. |
| Microsoft Learn | Hundrends of free online training by world-class experts to help you build your technical skills on the latest Microsoft technologies. |
| Technical Community Content | Workshops from the community team. |
| Research case studies | Case studies of faculty using Azure for Research collected by Microsoft Research. Submit your own Azure research stories here too! |
| Microsoft Research Data Sets | Data sets shared by Microsoft Research for academic use. |
| Machine Learning Data Sets | Data sets shared by Azure Machine Learning team to help explore machine learning. |
| MS MARCO | Microsoft MAchine Reading COmprehension Dataset generated from real Bing user queries and search results. |
| IOT School | Resources for learning about Azure IoT solutions, platform services and industry-leading edge technologies. |
| AI Labs | Experience, learn and code the latest breakthrough AI innovations by Microsoft. |
| Channel9 | Videos for developers from people building Microsoft products and services. |
This repository is designed to build a VuePress site that is hosted using GitHub Pages.
The content of this site lives in the docs folder. The main page is constructed from the README.md in that folder, and the side bar is made of the contents of the content folder.
To build these docs, you will need npm installed. Once you have this installed, install VuePress:
npm install vuepressTo build the docs, use the deploy.sh script. This script will build the docs, then push them to the gh-pages branch of a given fork of this project. You pass the GitHub user/org name to the script. This way you can test the build offline, then push to the parent as part of an automated script.
deploy.sh <org>We 💖love💖 contributions. In fact, we want students, faculty, researchers and life-long learners to contribute to this repo, either by adding links to existing content, or building content. Please read the contributing guide to learn more.