Find the right model from exploration to deployment all in one place.
A Microsoft Learn path with an introduction to AI services like speech, vision, and LLMs.
A Microsoft Learn path introducing the Azure AI Agents service.
A self-guided workshop on building an agent using the Azure AI Agent service and the Python SDK.
Gain skills to build and modernize AI apps on Azure. Learn replatforming, code and architecture assessment, security, deployment, and testing using Azure services.
Using Azure OpenAI GPT 4o to extract information such as text, tables and charts from Documents to Markdown.
Azure AI Foundry is a unified platform for building, deploying, and managing AI solutions, offering tools for generative AI, responsible AI, and seamless integration.
Discover when to use GPT-3.5 vs. GPT-4 with this framework, comparing context windows, cost, capabilities, and more.
Explore the differences between Azure OpenAI's Assistants API and Chat Completions API to choose the best fit for your AI project.
Earn the Azure AI Fundamentals certification to demonstrate your understanding of AI workloads, machine learning, and Azure services.
Build AI apps with pre-made templates. Edit and deploy to Azure using VS Code or GitHub Codespaces. Start your AI projects quickly and efficiently.
Evaluate your AI app for quality and safety issues
This article walks you through the common changes and differences you'll experience when working across OpenAI and Azure OpenAI.
A chat app with the DeepSeek R1 model and a thinking UI
In this article, you learn about DeepSeek-R1 and how to use them.
Basic app and infrastructure for using the Azure AI Foundry models and SDKs
Learn to use Azure OpenAI multimodal models in a chat app! Generate responses to messages and images with Python (Quart) backend, image upload, and speech input/output.
A basic chat app with streaming answers and a Python (Quart) backend
Use structured outputs mode to extract details from text, images, and even PDFs View Now
A repo with simple examples that run with OpenAI.com, Azure OpenAI, GitHub Models, or Ollama
Accelerate your AI journey with new resources and insights from Microsoft Ignite 2024. Discover the latest innovations and breakthroughs in AI technology.
Explore the Azure AI Studio SDK overview to learn how to develop, build, and test AI solutions using Python, enhancing your productivity and efficiency.
Azure AI Foundry supports two types of projects: a Foundry project and a hub based project.
Streamline AI app development with Prompt flow in Azure AI Studio. Orchestrate flows, debug, share, and deploy with ease using this powerful tool
Learn how to create and manage Azure AI resources in Azure AI Studio. Follow step-by-step instructions to set up your environment for AI development.
Develop AI projects in VS Code with Azure AI Studio. Connect to a prebuilt container for a seamless coding experience. Ideal for AI-driven workflows.
Master Visual Studio for Azure: Develop, debug, and deploy cloud apps effortlessly. Access courses and tutorials for all skill levels in this comprehensive learn collection.
Evaluate generative AI apps with Azure AI Studio. Use manual and automated tools to measure quality and safety, ensuring responsible AI development.
Learn to create custom copilots with Azure AI Studio. This path covers language models, prompt flow, and integrating your data for tailored AI solutions.
Read docs on Azure AI Foundry - a unified platform for developing AI solutions, offering pre-built services, machine learning models, and tools for responsible AI development.
Discover how Azure AI Foundry's enhanced UI and accessibility features streamline AI development, announced at Ignite 2024
Unlock the power of AI with Azure. Build, train, and deploy machine learning models using Azure AI's comprehensive suite of tools and services.
Model choice is important when you’re building complex, cost-effective AI solutions. The #Azure #AI Model catalog has 1500+ open-source models.
9 min
Explore Azure AI Studio's capabilities to build your own Copilot in this episode of the #AzureEnablementShow.
Learn to build generative AI applications to provide value to your users. Includes GitHub code and lab exercises.
Learn to create advanced, market-ready AI apps with Azure AI Studio. Access a comprehensive suite of tools and resources.
Discover Azure AI Studio's code-first approach to building AI copilots. Streamline your development process from start to finish.
Join #14DaysOfDataScience for a hands-on workshop on Developer Tools & AI to enhance your data science skills.
The AI Toolkit for Visual Studio Code streamlines generative AI app development, integrating Azure AI Foundry and Hugging Face tools and models.
Discover how automation and AI are transforming development. Explore Microsoft Reactor’s series on using Azure OpenAI with low-code tools.
Validate your technical skills and open doors to new possibilities of advancement with Microsoft Applied Skills.
Empower your AI journey with Microsoft Cloud: build skills, connect with the community, earn credentials, learn from experts, and explore upcoming events.
A sample app for Retrieval-Augmented Generation in Azure, using Azure Cognitive Search and OpenAI models for ChatGPT-style and Q&A experiences.
Azure Chat Solution Accelerator lets organizations deploy a private Azure chat tenant for chatting over data and files with a familiar user experience.
Use GPT-4, GPT-35-Turbo, and Dall-E in your solutions. Discover best practices for prompt engineering.
Explore the differences of advanced AI tools, seamless integration, and robust security in application development.
Learn to create and customize AI assistants with advanced tools like code interpreter and functions.
Understand fundamental AI and machine learning concepts for crafting intelligent solutions, managing data, and deploying cloud-native apps to Azure.
Descubra a integração de IA com Azure OpenAI em JavaScript e TypeScript. Este guia prático para iniciantes ensina a criar e usar IA na nuvem.
Explore a implantação de modelos no Azure OpenAI Studio, desde a seleção até a nomeação.
Guia Prático para Iniciantes: Crie um aplicativo Node.js que consumirá o serviço Azure OpenAI.
