Tech Resources for Academic Communities

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 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.
Web Development for Beginners, 24 lessons	A curriculum with 24 lessons, assignments and five projects to build. Covers HTML, CSS and JavaScript. Also includes Pre- and Post- Quizzes. Made with teachers in mind, or as self paced learning
Machine Learning for Beginners, 25 lessons	A curriculum with 25 lessons with assignments covering classic Machine Learning primarily using Scikit-learn. Covers Regression, Classification, Clustering, NLP, Time Series Forecasting, and Reinforcement Learning, with two Applied ML lessons. Also includes 50 Pre- and Post- Quizzes. Made with teachers in mind, or as self paced learning
IoT for Beginners, 24 lessons	A curriculum with 24 lessons with assignments all about the Internet of Things. The projects cover the journey of food from farm to table. This includes farming, logistics, manufacturing, retail and consumer - all popular industry areas for IoT devices. Also includes Pre- and Post- Quizzes. Made with teachers in mind, or as self paced learning

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!

Content from other sources

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	Hundreds 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.
Azure IoT curriculum resources	Hands on labs and content for students and educators to learn and teach the Internet of Things at schools, universities, coding clubs, community colleges and bootcamps
AI Labs	Experience, learn and code the latest breakthrough AI innovations by Microsoft.
Channel9	Videos for developers from people building Microsoft products and services.

Structure of the docs part of this repository

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.

Building the docs

To build these docs, you will need npm installed. Once you have this installed, install VuePress:

npm install vuepress

To 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>

Contributing

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.

Tech Resources for Academic Communities

Related tags

Overview

Tech Resources for Academic Communities

Learn by doing with our hands-on labs

Host great events and hacks

Other available academic resources

Attend our Reactor Workshops

Content from other sources

Structure of the docs part of this repository

Building the docs

Contributing

Owner

Microsoft

ML models implementation practice

UNAVOIDS: Unsupervised and Nonparametric Approach for Visualizing Outliers and Invariant Detection Scoring

Code and real data for the paper "Counterfactual Temporal Point Processes", available at arXiv.

ISBI 2022: Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image.

A custom DeepStack model for detecting 16 human actions.

The VarCNN is an Convolution Neural Network based approach to automate Video Assistant Referee in football.

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

Pytorch implementation of Bert and Pals: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning

i3DMM: Deep Implicit 3D Morphable Model of Human Heads

Pytorch implementation of XRD spectral identification from COD database

Lingvo is a framework for building neural networks in Tensorflow, particularly sequence models.

This is an official implementation for "PlaneRecNet".

Pytorch implementation of Learning Rate Dropout.

CAPRI: Context-Aware Interpretable Point-of-Interest Recommendation Framework

An easy way to build PyTorch datasets. Modularly build datasets and automatically cache processed results

https://arxiv.org/abs/2102.11005

Robust Partial Matching for Person Search in the Wild

Repositorio de los Laboratorios de Análisis Numérico / Análisis Numérico I de FAMAF, UNC.

The `rtdl` library + The official implementation of the paper

这是一个facenet-pytorch的库，可以用于训练自己的人脸识别模型。