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Updated: Aug 06, 2026
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Candidates for AI-102 Exam are seeking to prove fundamental knowledge and skills in Designing and Implementing an Azure AI Solution domain. Before taking this exam, aspirants ought to have a solid fundamental information of the concepts shared in preparation guide as well as basic understanding of Azure administration, Azure development, and DevOpss would give an added edge.
This exam validates the ability to use the various services within the Microsoft Azure Artificial Intelligence (AI) portfolio.
It is suggested that professionals accustomed to the ideas and also the technologies represented here by taking relevant training courses. Candidates are expected to have some hands-on experience on bot services that use Language Understanding , bots with Azure Application Insights, creating a GPU, FPGA, or CPU-based solution, implementing AI workflow.
After passing this exam, candidates get a certificate from Microsoft that helps them to demonstrate their proficiency to their clients and employers.
Languages: English, Japanese, Chinese (Simplified), Korean
Retirement date: none
This exam measures your ability to accomplish the following technical tasks: plan and manage an Azure Cognitive Services solutions; implement Computer Vision solutions; implement natural language processing solutions; implement knowledge mining solutions; and implement conversational AI solutions.
| Certification Vendor: | Microsoft |
| Exam Name: | Designing and Implementing a Microsoft Azure AI Solution |
| Exam Number: | AI-102 |
| Exam Price: | $165 USD |
| Passing Score: | 700 (on a scale of 1-1000) |
| Related Certifications: | Microsoft Certified: Azure AI Engineer Associate |
| Certificate Validity Period: | No expiration; certification remains valid unless Microsoft deprecates it |
| Available Languages: | English, Japanese, Chinese (Simplified), Korean |
| Real Exam Qty: | 40-60 |
| Exam Format: | Multiple-choice, Drag-and-drop, Case studies, Active screen questions |
| Exam Duration: | 120 minutes |
| Sample Questions: | Microsoft AI-102 Sample Questions |
| Exam Way: | In-person at Pearson VUE testing centers or online proctored exam |
| Pre Condition: | Recommended: Understanding of Azure services, REST APIs, C#, Python, or JavaScript. No mandatory prerequisites, but Azure Administrator or Developer background is beneficial. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/exams/ai-102/ |
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Plan and Manage an Azure AI Solution | 15-20% | - Implement governance and compliance for AI solutions - Manage AI costs and resource allocation - Plan and configure secure AI solutions - Select appropriate Azure AI services and technologies |
| Topic 2: Implement Decision Support Solutions | 10-15% | - Integrate Azure AI services into applications - Design and implement decision automation - Monitor and optimize decision support solutions |
| Topic 3: Implement Natural Language Processing Solutions | 20-25% | - Create conversational AI solutions with Azure AI Bot Service - Build question answering solutions - Translate text and speech - Analyze text using Azure AI Language - Implement speech capabilities using Azure AI Speech |
| Topic 4: Implement Knowledge Mining and Document Intelligence Solutions | 15-20% | - Implement semantic and vector search - Implement Azure AI Search solutions - Design document processing pipelines - Create custom skills for Azure AI Search |
| Topic 5: Implement Generative AI Solutions | 10-15% | - Integrate Azure OpenAI models into applications - Apply responsible AI practices - Implement prompt engineering techniques - Use Azure OpenAI Service for generative AI |
| Topic 6: Implement Computer Vision Solutions | 15-20% | - Implement object detection and image classification - Process video and generate insights - Implement Azure AI Face service - Read and process documents using Azure AI Document Intelligence - Analyze images using Azure AI Vision |
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