Implement AI Solutions Using Microsoft Azure AI Foundry

Complete study guide for the AI-901 'Implement AI solutions using Microsoft Azure AI Foundry' skill group (55–60%). Covers Foundry, generative AI, agents, vision, NLP, and document intelligence.

The 'Implement AI solutions using Microsoft Azure AI Foundry' skill group covers 55–60% of the AI-901 exam — the majority of scored questions. Azure AI Foundry (formerly Azure AI Studio) is Microsoft's unified platform for building, evaluating, and deploying AI applications and agents. It uses a hub-and-project organizational model: a hub centralizes shared infrastructure, connections (to Azure OpenAI, Azure AI Search, Azure AI Services), and governance, while projects represent individual AI applications that inherit hub connections and deploy models independently.

This skill group covers five implementation areas: generative AI with Azure OpenAI Service (GPT-4, DALL-E, prompt engineering, RAG via Azure AI Search grounding); agentic AI workloads (AI agents, tool calling, multi-agent systems using Semantic Kernel or AutoGen, Azure AI Foundry Agent Service); computer vision (image analysis, object detection, OCR via Azure AI Vision; image generation via DALL-E); natural language processing (sentiment analysis, NER, summarization via Azure AI Language; speech-to-text and text-to-speech via Azure AI Speech); and document intelligence and knowledge mining (prebuilt and custom document models via Azure AI Document Intelligence; full-text, vector, and hybrid search via Azure AI Search).

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