Hackathon Cheatbook is a go-to-guide for any developer to get to learn and build scalable solutions at hackathons on Azure. The hackathon cheatbook is never finished. It's an ongoing project for the developers that we're always trying to update as we run more and more hackathons. Take a step to contribute to the cheatbook with a pull request over on this GitHub repository for this guide.
Microsoft Azure is a flexible, scalable, and full-featured cloud platform. If you can imagine it, you can build it on Azure, using the tools, languages and frameworks you're already familiar with. Python, JavaScript, Java, .NET - you can run them all on Azure.
Using Azure you can run serverless code using Azure Functions, host web applications and databases, take advantage of artificial intelligence (AI) through Cognitive Services, and create your own machine learning models through Azure Notebooks or powerful Data Science Virtual Machines (DSVM).
If you're new to Azure, we have a host of learning options available to you.
- Claim your Azure Pass: https://aka.ms/HN/passes
👉 Note: Follow the redemption process guide for reference
- Deep dive through Azure Fundamentals: https://aka.ms/HN/learnaz
docs.microsoft.com is the home for Microsoft documentation for end users, developers, and IT professionals. Check out our quickstarts, tutorials, API reference, and code examples.
Developer Guide: https://docs.microsoft.com/en-us/azure/guides/developer/azure-developer-guide
The AI Services in Azure bring the best of AI to Azure and the best of Azure to AI. It is about bringing the state of the art technology as easy to use cloud services for developers. It’s also about taking advantage of the best capabilities that the cloud has to offer, such as hardware and microservice clusters to make AI scalable.
There are 3 sets of AI services in Azure.
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Pre-built AI capabilities, such as Cognitive Service APIs for speech, language understanding, OCR, vision and Search are simple cloud hosted functions.
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Conversational AI is now easy with the Azure Bot Service. It allows you to build and deploy chat and conversational applications with ease.
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When you have to build a deeply custom AI model with your own data, Azure Machine Learning (https://aka.ms/HN/AIonAzure) provides all you need for cloud scale algorithm and model development.
👉 Sample 1: How to Translate Speech in realtime on your browser https://aka.ms/HN/AzS2T
👉 Sample 2: Wine-not-build a Bot https://aka.ms/HN/AzBots
👉 Sample 3: Use Azure Cognitive Services to build a translator app hosted on Azure App Service https://aka.ms/HN/AzAPS
🖥️ Tutorial: Introduction to Machine Learning https://aka.ms/HN/ml
🐍 Azure for Python Developers: https://aka.ms/PyonAzure
Explore some MS Learn Content on AI & ML: https://aka.ms/HN/AIML
Azure App Service - enables you to build and host web apps, mobile back ends, and RESTful APIs in the programming language of your choice without managing infrastructure. It offers auto-scaling and high availability, supports both Windows and Linux, and enables automated deployments from GitHub, Azure DevOps, or any Git repo. Learn how to use Azure App Service with our quickstarts, tutorials, and samples.
👉 Sample 1: https://aka.ms/HN/AZWebApps
👉 Sample 2: Learn to build a Blog using App Service https://aka.ms/HN/BlogApp
Learn more about Azure App Service: https://aka.ms/HN/appservice
Azure Kubernetes Service (AKS) - The fully managed Azure Kubernetes Service (AKS) makes deploying and managing containerised applications easy. It offers serverless Kubernetes, an integrated continuous integration and continuous delivery (CI/CD) experience and enterprise-grade security and governance. Unite your development and operations teams on a single platform to rapidly build, deliver and scale applications with confidence. (https://aka.ms/HN/learnk8s)
👉 Sample 1: https://aka.ms/HN/RockPaperScissorsLizardSpock
👉 Sample 2: https://aka.ms/HN/Learn-K8s
Step-wise series to learn Kubernetes: https://aka.ms/HN/K8s-Series
Azure Cosmos DB is Microsoft’s globally distributed, multi-model database service for operational and analytics workloads. It offers multi-mastering feature by automatically scaling throughput, compute, and storage. ( https://docs.microsoft.com/en-us/azure/cosmos-db/ )
Getting Started with Cosmos DB on Azure https://aka.ms/HN/Learn-CosmosDB
👉 Sample 1: Build an Attendee Detector https://aka.ms/HN/AttendeeDetector
Explore Cosmos DB with Serverless: https://aka.ms/HN/CosmosDB-Serverless
Explore our Code Samples https://aka.ms/HackOnAzure 🎛
https://docs.microsoft.com is the home for Microsoft documentation for end users, developers, and IT professionals. Check out our quickstarts, tutorials, API reference, and code examples.
Have a question while hacking on Azure, ask here https://aka.ms/HN/QnA
Receive a regular digest of relevant technical content, events and training https://aka.ms/HN/microsoft.source
- Exam AZ-900: Microsoft Azure Fundamentals https://aka.ms/HN/Az900 🎓
- Exam AZ-203: Developing Solutions for Microsoft Azure https://aka.ms/HN/Az203 🎓
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