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A current guide to AI-102, including the December 23, 2025 skills measured update, June 30, 2026 retirement notice, 100-minute exam timing, 700 passing score, and the official Azure AI Engineer skill areas for Foundry, Azure AI services, Azure AI Search, OpenAI, agents, vision, language, and knowledge mining.
AI-102 remains a Microsoft Azure AI Engineer Associate exam until its listed retirement date. Study plans should use the current Microsoft Foundry-heavy outline and verify exam scheduling before June 30, 2026.
Use these points before building a Microsoft Azure AI Engineer study plan.
The Azure AI Engineer Associate exam is AI-102.
Microsoft says AI-102 retires on June 30, 2026 at 11:59 PM Central Standard Time.
Microsoft lists the current skills measured as of December 23, 2025.
The Microsoft exam page lists 100 minutes to complete the assessment.
Microsoft states that a score of 700 or greater is required to pass.
The outline covers Azure AI planning and management, generative AI, agentic solutions, computer vision, natural language processing, and knowledge mining or information extraction.
Microsoft warns that AI-102 retires on June 30, 2026. Candidates should confirm appointment availability and avoid relying on this exam path after the retirement deadline.
The current AI-102 guide emphasizes Microsoft Foundry services, Azure AI resources, Azure OpenAI in Foundry Models, prompt flow, retrieval-augmented generation, responsible AI, agents, and integrated AI application patterns.
Preparation should include SDK and REST API use, security, monitoring, cost management, model deployment, vision, language, speech, translation, AI Search, Document Intelligence, Content Understanding, and knowledge mining scenarios.
Before test day, connect your Microsoft Learn profile, verify the Pearson VUE appointment, review ID and accommodation requirements, try the exam sandbox, and understand the 700 passing standard.
Use this Microsoft Azure AI Engineer Associate (AI-102) exam help page for exam-specific context, then compare the broader online exam help services page or contact HiraEdu if you need a direct handoff. This page stays focused on Microsoft Azure AI Engineer Associate (AI-102) while the linked service pages cover broader exam support options.
Microsoft Azure AI Engineer Associate (AI-102) is the exam for candidates who build, manage, and deploy AI solutions that use Azure AI. Microsoft lists the current skills measured as of December 23, 2025 and warns that AI-102 retires on June 30, 2026 at 11:59 PM Central Standard Time, so candidates should verify scheduling timelines before committing to this exam path. The exam page lists a 100-minute assessment and Microsoft requires a score of 700 or greater to pass. The current outline covers Plan and manage an Azure AI solution (20-25%), Implement generative AI solutions (15-20%), Implement an agentic solution (5-10%), Implement computer vision solutions (10-15%), Implement natural language processing solutions (15-20%), and Implement knowledge mining and information extraction solutions (15-20%). Preparation should include Microsoft Foundry services, Azure AI resources, responsible AI, Azure OpenAI in Foundry Models, prompt flow, retrieval-augmented generation, agents, Azure AI Vision, Speech, Language, Translator, Azure AI Search, Document Intelligence, Content Understanding, SDKs, REST APIs, monitoring, security, and cost management.
The exam code is AI-102 for Microsoft Azure AI Engineer Associate.
Microsoft says AI-102 retires on June 30, 2026 at 11:59 PM Central Standard Time.
Microsoft lists the current AI-102 skills measured as of December 23, 2025.
The Microsoft exam page lists 100 minutes to complete the assessment.
Microsoft states that a score of 700 or greater is required to pass.
Check that your AI-102 appointment falls before Microsoft's June 30, 2026 retirement date and watch for replacement-path guidance.
Build a checklist for AI solution planning, generative AI, agents, computer vision, natural language processing, and knowledge mining.
Practice Foundry projects, Azure AI resources, Azure OpenAI, prompt flow, RAG, AI Search indexes, document extraction, vision, speech, language, and monitoring tasks.
Verify Microsoft Learn profile connection, Pearson VUE scheduling, identification, exam sandbox familiarity, accommodation needs, score expectations, and renewal process.
Use the guide to self-serve, or talk to a coordinator if you need help mapping timelines, official requirements, or troubleshooting day-of logistics.
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