AI-102 Exam Dumps

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Certification Provider:	Microsoft
Exam Code / Number:	AI-102
Exam Name:	Designing and Implementing a Microsoft Azure AI Solution
Exam Questions:	416
Last Updated:	Jun 11, 2026
Corresponding Certification:	Azure AI Engineer Associate

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Microsoft AI-102 exam is suitable for individuals who have experience in developing AI solutions and are looking to showcase their expertise in designing and implementing AI solutions using Microsoft Azure services. AI-102 exam also provides an opportunity for professionals to enhance their skills in the field of AI and prepare for a career in AI development.

Microsoft AI-102 is a certification exam that is designed to test the skills of professionals in designing and implementing AI solutions on the Microsoft Azure platform. AI-102 exam is targeted towards developers, data scientists, and AI engineers who have experience working with Azure technologies and want to validate their expertise in designing and implementing AI solutions.

Microsoft AI-102: Designing and Implementing a Microsoft Azure AI Solution Exam is a certification exam designed to test your knowledge of designing and implementing AI solutions using Microsoft Azure technologies. AI-102 exam is intended for the individuals who have a strong understanding of Microsoft Azure AI services and want to demonstrate their expertise in designing and implementing AI solutions.

Microsoft AI-102 Exam Syllabus Topics:

Topic	Details
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.
Topic 2	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.
Topic 3	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.
Topic 4	Implement natural language processing solutions: This domain involves text and speech processing, including sentiment analysis, translation, speech-to-text and text-to-speech implementation, building language understanding models, and creating question answering systems.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102