AI-102

Designing and Implementing a Microsoft Azure AI Solution
Azure AI Engineer Associate
Updated   April 29,2026
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Related certification: Azure AI Engineer Associate
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AI-102 Designing and Implementing a Microsoft Azure AI Solution exam is designed for individuals who work as Azure AI Engineers, which measures your ability to plan, design, implement, monitor, and optimize AI solutions in the Azure environment. The AI-102 exam assesses your skills in building, deploying, and maintaining AI solutions, including the integration of AI capabilities with other applications. The following Microsoft AI-102 exam overview, skills and preparation tips are valuable in your preparation.

AI-102 Designing and Implementing a Microsoft Azure AI Solution Exam Overview

 Duration:  100 minutes
 Languages:  English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia), Russian, Chinese (Traditional), Italian, Indonesian (Indonesia)
 Price:  $165
 Associate Certification:  Microsoft Certified: Azure AI Engineer Associate

Skills Measured in Microsoft AI-102 Exam

The AI-102 exam tests your ability to handle tasks across several areas of Azure AI development. 

1. Plan and Manage an Azure AI Solution
   - Designing and maintaining Azure AI solutions.
   - Identifying the components of an Azure AI solution.
   - Managing AI workflows and pipelines.

2. Implement Content Moderation Solutions
   - Implementing solutions for moderating and filtering content (e.g., text, images, videos) for AI applications.

3. Implement Computer Vision Solutions
   - Working with Azure Cognitive Services to create image processing, video analysis, and object recognition solutions.

4. Implement Natural Language Processing Solutions
   - Using tools such as Azure Cognitive Services for processing natural language, including text analytics, language understanding, and sentiment analysis.

5. Implement Knowledge Mining and Document Intelligence Solutions
   - Developing solutions to extract valuable insights from large document collections, such as PDFs or scanned images.
   - Using Azure services for knowledge extraction, like Azure Cognitive Search.

6. Implement Generative AI Solutions
   - Working with Azure tools and services for creating generative AI models (such as for text generation, image generation, etc.).

Practice Microsoft AI-102 Exam preparation material from CertQueen

Microsoft AI-102 exam preparation material from CertQueen is an excellent way to prepare for the Designing and Implementing a Microsoft Azure AI Solution certification exam. These AI-102 preparation material are designed to provide you with a realistic simulation of the actual exam environment, covering all the key areas measured in the test, such as planning and managing Azure AI solutions, implementing computer vision, natural language processing, knowledge mining, and generative AI solutions. By using CertQueen AI-102 exam preparation material, you can familiarize yourself with the types of questions you will encounter on the exam, improve your time management skills, and identify areas where you need further study. Additionally, the detailed explanations and answers provided in these preparation material help reinforce important concepts and ensure that you are well-prepared for the certification exam.

Microsoft Azure AI Engineer Associate Certification Benefits

The Microsoft Azure AI Engineer Associate certification offers numerous benefits for professionals looking to advance their careers in artificial intelligence and cloud computing. By earning this certification, individuals demonstrate their expertise in building, managing, and deploying AI solutions using Azure's suite of tools and services. Key benefits include gaining hands-on experience with essential Azure AI components such as computer vision, natural language processing, knowledge mining, and generative AI, as well as the ability to integrate AI capabilities into other applications. The certification validates skills in planning and managing end-to-end AI solutions, from development to deployment, tuning, and monitoring. Additionally, it enhances your ability to apply responsible AI principles, ensuring ethical and secure AI implementation. This certification not only boosts credibility but also opens up career opportunities, providing an edge in the competitive AI and cloud job market, with the added advantage of working with cutting-edge technologies and practices in the rapidly evolving field of AI.

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AI-102    Designing and Implementing a Microsoft Azure AI Solution