Welcome to the Azure AI Samples repository! This repository acts as the top-level directory for official Azure AI sample code and examples. It includes notebooks and sample code that contain end-to-end samples as well as smaller code snippets for common developer tasks.

Welcome to a hub for the Azure AI developer community! This readme includes links to a curated list of the official Microsoft SDKs, Samples and other guidance around Azure OpenAI and other Cognitive Services.

The Enterprise Azure OpenAI Hub is your gateway to the world of AI on Azure. Whether you're a developer, a data scientist, or a business leader, you'll find everything you need to get started and build your AI skills.

Azure Analytics and AI Engagement. Contribute to microsoft/Azure-Analytics-and-AI-Engagement development by creating an account on GitHub.

AI applications include advanced web search engines (e.g., Google Search), recommendation systems (used by YouTube, Amazon, and Netflix), understanding human speech (such as Siri and Alexa), self-driving cars (e.g., Waymo), generative or creative tools (ChatGPT and AI art), automated decision-making, and competing at the highest level in ...

Azure OpenAI Samples is a collection of code samples illustrating how to use Azure Open AI in creating AI solution for various use cases across industries. This repository is mained by a community of volunters.

Learn how Azure AI Foundry leverages language models and responsible AI principles to provide cutting-edge generative AI technology, including copilots that enhance efficiency through ethical AI-driven prompts and responses.

Jan 22, 2025 · A comprehensive cheat sheet for the AI-900 Azure AI Fundamentals exam covering artificial intelligence workloads, machine learning principles, computer vision, natural language processing (NLP), generative AI, and responsible AI considerations. Includes Azure tools and services with links and logos for visual clarity.

Practical AI applications built using Cognitive Services. For this, we recommend that you start with modules Microsoft Learn for vision, natural language processing, Generative AI with Azure OpenAI Service and others. Specific ML Cloud Frameworks, such as Azure Machine Learning, Microsoft Fabric, or Azure Databricks.

AI-in-a-Box leverages the collective expertise of Microsoft Customer Engineers and Architects across the globe to develop and provide AI and ML solutions to the technical community.