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Updated: Aug 13, 2026
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Designing and Implementing a Microsoft Azure AI Solution Exam Certification Details:
| Books / Training | Course AI-102T00: Designing and Implementing a Microsoft Azure AI Solution |
| Exam Name | Microsoft Certified - Azure AI Engineer Associate |
| Number of Questions | 40-60 |
| Sample Questions | Designing and Implementing a Microsoft Azure AI Solution Sample Questions |
| Schedule Exam | Pearson VUE |
| Exam Code | AI-102 |
| Duration | 130 mins |
| Passing Score | 700 / 1000 |
| Exam Price | $165 (USD) |
How to book the AI-102: Designing and Implementing an Azure AI Solution Exam
These are following steps for registering the AI-102: Designing and Implementing an Azure AI Solution exam.
- Step 1: Visit to Microsoft Learning and search for AI-102: Developing Solutions for Microsoft Azure.
- Step 2: Sign up/Login to Pearson VUE account
- Step 3: Select local centre based on your country, date, time and confirm with a payment method.
Microsoft AI-102 Exam Overview:
| Certification Vendor: | Microsoft |
| Exam Name: | Designing and Implementing a Microsoft Azure AI Solution |
| Exam Number: | AI-102 |
| Available Languages: | English, Japanese, Chinese (Simplified), Korean |
| Exam Duration: | 120 minutes |
| Certificate Validity Period: | No expiration; certification remains valid unless Microsoft deprecates it |
| Real Exam Qty: | 40-60 |
| Passing Score: | 700 (on a scale of 1-1000) |
| Exam Price: | $165 USD |
| Exam Format: | Multiple-choice, Drag-and-drop, Case studies, Active screen questions |
| Related Certifications: | Microsoft Certified: Azure AI Engineer Associate |
| 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/ |
Introduction to AI-102: Designing and Implementing an Azure AI Solution Exam
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.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102
Microsoft AI-102 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Implement Generative AI Solutions | 10-15% | - Use Azure OpenAI Service for generative AI - Implement prompt engineering techniques - Integrate Azure OpenAI models into applications - Apply responsible AI practices |
| Implement Natural Language Processing Solutions | 20-25% | - Build question answering solutions - Analyze text using Azure AI Language - Implement speech capabilities using Azure AI Speech - Translate text and speech - Create conversational AI solutions with Azure AI Bot Service |
| Plan and Manage an Azure AI Solution | 15-20% | - Manage AI costs and resource allocation - Select appropriate Azure AI services and technologies - Plan and configure secure AI solutions - Implement governance and compliance for AI solutions |
| Implement Computer Vision Solutions | 15-20% | - Implement Azure AI Face service - Process video and generate insights - Implement object detection and image classification - Read and process documents using Azure AI Document Intelligence - Analyze images using Azure AI Vision |
| Implement Knowledge Mining and Document Intelligence Solutions | 15-20% | - Implement Azure AI Search solutions - Implement semantic and vector search - Create custom skills for Azure AI Search - Design document processing pipelines |
| Implement Decision Support Solutions | 10-15% | - Design and implement decision automation - Monitor and optimize decision support solutions - Integrate Azure AI services into applications |
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