Coding with AI

Developers utilize Microsoft's AI tools to enhance coding efficiency and innovation. Tools like GitHub Copilot are popular among professional developers; developers are using AI-assisted tools for tasks such as code generation, error correction, and optimizing workflows. These tools are integrated into development environments like Visual Studio and Visual Studio Code, offering features like code suggestions, pattern prediction, and refactoring recommendations. AI-driven tools are transforming the software development landscape, enabling developers to focus on creative problem-solving and high-value tasks.

AI Coding Tools

Microsoft's AI Coding Tools are designed to enhance the developer experience by integrating AI-powered assistance directly into the coding environment. With tools like GitHub Copilot, developers receive code suggestions and completions, enabling them to write code more efficiently. Visual Studio Code Tools for AI support deep learning frameworks, offering features like syntax highlighting and IntelliSense. For a comprehensive approach, Azure AI Studio allows developers to build, test, and deploy AI applications with ease.

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Python & AI

Find the latest resources for developing AI applications using Python. This section includes libraries and samples for Python on Azure, templates for AI apps, demos for OpenAI, and tutorials for building multimodal vision chat apps and entity extraction.

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AI Agents

Essential resources for building AI agents. Find beginner-friendly courses, quick-start guides for multi-agent applications, tutorials on using advanced models like DeepSeek-R1, and more.

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Microsoft Foundry

Azure AI Studio is a platform that empowers developers to create, evaluate, and deploy generative AI solutions and custom copilots. It provides a unified AI platform that supports the entire development lifecycle, from building and testing to deployment and monitoring, ensuring long-term success with continuous refinement.

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Azure OpenAI

Azure OpenAI offers developers a powerful platform for creating intelligent applications with advanced language models like GPT-3 and GPT-4. It provides a secure, compliant environment with features like real-time inferencing, fine-tuning of models, and a web studio for interactive experimentation.

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RAG [Retrieval-Augmented Generation]

Collection of key resources for developing Retrieval-Augmented Generation (RAG) applications including templates for deploying RAG solutions using Azure AI and PostgreSQL and tutorials for building and evaluating RAG applications.

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Generative AI

Generative AI is revolutionizing the way developers work by automating routine tasks and enabling the creation of new content from simple prompts. With tools like GitHub Copilot and Azure AI Studio, developers can enhance coding efficiency and build sophisticated AI applications. These tools support the entire development lifecycle, from building and testing to deployment and monitoring, making them invaluable for modern software development.

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