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Last Updated: Aug 12, 2026
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Microsoft AI-102 (Designing and Implementing a Microsoft Azure AI Solution) Certification Exam is a highly recognized and sought-after certification for professionals who are interested in AI and want to work with Azure AI solutions. Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版) certification exam is designed to test the knowledge and skills required to design and implement AI solutions using Azure services. It is an advanced level exam that requires the candidate to have a deep understanding of AI and Azure services.
Microsoft AI-102 Exam is an essential certification for professionals who want to demonstrate their expertise in designing and implementing AI solutions in Azure. It is a challenging exam that requires candidates to have a deep understanding of AI concepts and practical experience in implementing AI solutions in Azure. By passing AI-102J exam, candidates can demonstrate their proficiency in designing and implementing AI solutions in Azure and differentiate themselves in the highly competitive field of AI.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102
Microsoft AI-102 (Designing and Implementing a Microsoft Azure AI Solution) Exam is a certification exam that validates the knowledge and skills of candidates in designing and implementing artificial intelligence (AI) solutions on Microsoft Azure. AI-102J exam is designed for individuals who have a deep understanding of AI technologies and want to demonstrate their ability to implement AI solutions by using Azure services. Passing AI-102J exam will help candidates earn the Microsoft Certified: Azure AI Engineer Associate certification.
The AI-102 certification exam is an advanced-level certification that requires a deep understanding of Microsoft Azure and AI technologies. Candidates who pass AI-102J exam will be able to demonstrate their expertise in designing and implementing AI solutions using Microsoft Azure. They will also be able to use their knowledge to help organizations leverage AI technologies to improve their business processes and gain a competitive edge in the market.
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Microsoft AI-102日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Implement knowledge mining and information extraction solutions | 15-20% | - Extract entities, relationships, and key phrases - Implement intelligent search and retrieval - Build knowledge bases and search indexes - Ingest and process structured/unstructured data |
| Implement natural language processing solutions | 15-20% | - Implement translation and summarization - Build conversational AI and chatbots - Perform text analysis, sentiment detection, and language detection - Customize and deploy NLP models |
| Implement computer vision solutions | 10-15% | - Build and deploy custom vision models - Extract text and handwriting from images - Integrate vision capabilities into applications - Process and index video content - Analyze images and detect objects/features |
| Plan and manage an Azure AI solution | 20-25% | - Choose services for generative AI, computer vision, NLP, speech, information extraction, knowledge mining - Plan solutions aligned with responsible AI principles - Select suitable AI models - Monitor, optimize, and secure AI solutions - Select appropriate Microsoft Foundry Services - Create and configure Azure AI resources |
| Implement an agentic solution | 5-10% | - Build agents with Microsoft Foundry Agent Service - Understand agent use cases and types - Test, deploy, and optimize agents - Develop multi-agent workflows and orchestration |
| Implement generative AI solutions | 15-20% | - Deploy and manage generative models - Orchestrate multiple models and containers - Integrate Azure OpenAI and other generative models - Implement model monitoring and feedback - Apply prompt engineering and fine-tuning |
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