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This post is a curated session guide for Microsoft Ignite 2025 focused on Azure AI Foundry, highlighting must-see developer sessions for hands-on learning, practical demos, and expert insights to help developers plan their conference schedule.
This guide demonstrates how to quickly improve image classification accuracy by fine-tuning GPT-4o (a vision-language model) on Azure OpenAI via Azure AI Foundry. It targets ML practitioners, app developers, and curious users, and emphasizes that boosting performance can be done without deep learning expertise through a step-by-step walkthrough.
Azure AI Foundry provides a streamlined platform for smarter, faster, and more accessible fine-tuning so developers can customize models for practical business problems — from reasoning agents to adaptive tools and scalable workflows — accompanied by best practices, hands-on resources, and recent innovations to accelerate development, testing, and deployment.
Azure AI Foundry’s September 2025 update announces GA for GPT-5-Codex and Voice Live, previews for Sora video-to-video, Browser Automation, and Key Vault, the release of Grok 4 Fast, and new knowledge sources for Azure AI Search.
Microsoft announced the open-source Microsoft Agent Framework, an engine designed for building agentic AI applications. The framework addresses the evolving needs of AI agents — which go beyond chatbots and copilots — by enabling autonomous components that can reason about goals, call tools and APIs, collaborate with other agents, and adapt dynamically. The announcement appeared on the Azure AI Foundry Blog.
Foundry Local is a high-performance local AI runtime from Azure AI Foundry that brings model execution and hardware acceleration to client devices. It enables developers to build and ship cross-platform AI apps that run accelerated models on a wide range of silicon.
The post highlights how running AI locally on developers’ devices addresses long-standing concerns about data privacy, dependency on cloud services, and limited control over tooling. By using local models, teams — especially those working on sensitive or regulated projects — can keep data on-device, customize workflows, reduce latency, and retain full control over model behavior. The article positions local models as a practical approach for AI-assisted development and is published on the Azure AI Foundry Blog.
Azure AI Foundry now can create a production-ready Azure AI Search vector index natively during agent grounding, enabling immediate indexing with no prior search setup and speeding agent deployment to production.
Microsoft announced the Computer Use tool (Preview) for the Azure AI Foundry Agent Service. The preview brings feature parity with the Azure OpenAI Responses API while offering seamless integration into the Foundry agent runtime and enterprise-grade security, allowing developers to build agents that reason and use tools within a secure environment.
August 2025 update for Azure AI Foundry: GPT-5 is available, Model Router adds GPT-5 support, Responses API reaches general availability, Browser Automation enters public preview, and there are additions and updates including Sora, Mistral Document AI, FLUX image models, OpenAI gpt-oss with Foundry Local, plus SDK and documentation improvements.