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The AI-102 Exam certification is an internationally-recognized certification which help to have validation for Azure AI Solution Architects who have ability to accomplish the following technical tasks: analyze solution requirements; design solutions; integrate AI models into solutions; and deploy and manage solutions.
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Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102
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Microsoft AI-102日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Implement Decision Support Solutions | 10-15% | - Design and implement decision automation - Monitor and optimize decision support solutions - Integrate Azure AI services into applications |
| Implement Computer Vision Solutions | 15-20% | - Implement object detection and image classification - Implement Azure AI Face service - Read and process documents using Azure AI Document Intelligence - Process video and generate insights - Analyze images using Azure AI Vision |
| Implement Natural Language Processing Solutions | 20-25% | - Analyze text using Azure AI Language - Create conversational AI solutions with Azure AI Bot Service - Translate text and speech - Build question answering solutions - Implement speech capabilities using Azure AI Speech |
| Plan and Manage an Azure AI Solution | 15-20% | - Implement governance and compliance for AI solutions - Plan and configure secure AI solutions - Manage AI costs and resource allocation - Select appropriate Azure AI services and technologies |
| Implement Generative AI Solutions | 10-15% | - Use Azure OpenAI Service for generative AI - Implement prompt engineering techniques - Apply responsible AI practices - Integrate Azure OpenAI models into applications |
| Implement Knowledge Mining and Document Intelligence Solutions | 15-20% | - Implement semantic and vector search - Implement Azure AI Search solutions - Create custom skills for Azure AI Search - Design document processing pipelines |
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