hyoshioka0128/bi-shared-docs
Public contribution for analysis services content
Microsoft MVP for Developer Technologies
Public contribution for analysis services content
☁️ Cloud-scale telemetry ingestion from any stream of data with Azure Event Hubs
12 Weeks, 24 Lessons, IoT for All!
24 Lessons, 12 Weeks, Get Started as a Web Developer
Microsoft Foundry Local - Workshop - Build AI apps locally with Foundry Local - RAG, agents, and multi-agent workflows in Python, JS, and C#. No cloud required.
Microsoft MVP 制度についてのまとめ
This lab is a 1-day/2-day end-to-end SLM workshop led and developed by AI GBB. Attendees will learn how to quickly and easily perform the data preparation-fine tuning-serving-LLMOps series of processes using Azure ML Studio and AI Studio, and will be able to expand the workload based on this.
Learn Generative AI fundamentals through Java programming.
The official Windows Driver Kit documentation sources
An extension that adds support for Azure OpenAI/ OpenAI bindings in Azure Functions for LLM (GPT-3.5-Turbo, GPT-4, etc)
Enable GitHub developers to deploy to Azure Function Apps using GitHub Actions
Azure Quickstart Templates
Welcome to the comprehensive guide for Azure Developer CLI (azd)! This repository is designed to help developers at all levels from students to professional developers learn and master Azure Developer CLI for efficient cloud deployments.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
A Model Context Protocol (MCP) server that provides comprehensive customer sales database access for Zava Retail DIY Business. This server enables AI assistants to query and analyze retail sales data through a secure, schema-aware interface.
azure-stack-docs localized content
The Python Risk Identification Tool for generative AI (PyRIT) is an open access automation framework to empower security professionals and machine learning engineers to proactively find risks in their generative AI systems.
11 Lessons to Get Started Building AI Agents
This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks
This repository contains presentations and workshops created by the Microsoft Power Platform Advocates.
A course for AI applications with LangChain4j from simple chat to AI agents.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
This repo is the home of the official Visual Studio, Visual Studio for Mac, Visual Studio Subscriptions, and Scripting Technologies documentation for Microsoft.
The Microsoft Bot Framework provides what you need to build and connect intelligent bots that interact naturally wherever your users are talking, from text/sms to Skype, Slack, Office 365 mail and other popular services.
Tools for managing and automating your Azure DevOps Agents.
Azure Spring Cloud Playground helps you scaffold and generate Microservice projects
Demonstrates a pattern (using the adal4j library) for integrating Azure AD authentication with a legacy authentication system, and illustrating one approach to migrating users from the legacy auth system over to Azure AD.
Controlling costs within Azure can sometimes seem confusing which might lead to misunderstandings. This project aims to give a basic overview of the cost and budget structure within Azure as well as giving tools to control costs in an exact manner through alerts and ultimately shut down of resources.