AI-102日本語
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Microsoft
AI-102日本語 Exam
Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版)
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All the information you need to pass Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102日本語版) AI-102日本語 exam and free practice exam verified by ExamDiscuss exam experts.
The preparation process for the exam is a vital step on your way of passing the test, that’s why you need to find the most actual and reliable resources. Microsoft offers two options for you to choose from online free training or instructor-led, which is a paid one. For example, the free training represents a collection of learning paths each of which contains the different number of modules, from one to five. Thus, you can choose which ones to follow: Prepare for AI engineering (1 module), Process and Translate Speech with Azure Cognitive Speech Services (2 modules), Create computer vision solutions with Azure Cognitive Services (3 modules), to name a few. The paid course is known to be Course AI-102T00: Designing and Implementing a Microsoft Azure AI Solution and lasts for 4 days. It is intended for software developers interested in developing skills to build AI infused apps that use Azure Cognitive Search and Services, and Microsoft Bot Framework.
Microsoft AI-102 exam is a certification that validates the skills and knowledge of professionals in designing and implementing AI solutions using Microsoft Azure. AI-102J exam is intended for developers, data scientists, and AI professionals who want to demonstrate their expertise in designing and developing AI solutions on the Azure platform. Candidates who pass AI-102J exam will earn the Microsoft Certified: Azure AI Engineer Associate certification.
| Topic | Details |
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| Topic 1 | - Implement computer vision solutions: This domain addresses image and video analysis using Azure Vision services, including object detection, text extraction, training custom vision models, and extracting insights from video streams.
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| Topic 2 | - Implement an agentic solution: This domain covers creating autonomous AI agents using Microsoft Foundry Agent Service and Framework, implementing multi-agent workflows, and testing and deploying intelligent agents.
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| Topic 3 | - Implement knowledge mining and information extraction solutions: This domain covers extracting structured data from unstructured sources using Azure AI Search, Document Intelligence for form processing, and Content Understanding for OCR and document analysis.
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| Topic 4 | - Plan and manage an Azure AI solution: This domain covers selecting appropriate Azure AI services for various solution types, planning and deploying resources following Responsible AI principles, managing authentication and costs, and implementing content moderation and safety controls.
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| Topic 5 | - Implement generative AI solutions: This domain focuses on building solutions with Microsoft Foundry and Azure OpenAI, including deploying models, implementing prompt flows and RAG patterns, generating content, and optimizing through parameter tuning and prompt engineering.
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