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AI-102 retired June 30, 2026. Archived practice for Azure AI Foundry, agentic AI, and generative AI skills — new candidates should pursue AI-103 (Azure AI Apps and Agents Developer).
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Changes that affect this certification, with links to the official source.
Microsoft retired AI-102 on June 30, 2026. AI-103 (Azure AI Apps and Agents Developer Associate) replaced it and is built around Microsoft Foundry, agents, and generative AI rather than a catalog of classic Cognitive Services.
Exam retired: Microsoft AI-102 ended June 30, 2026. These materials remain useful for related Azure AI skills. The current credential path is AI-103 (Azure AI Apps and Agents Developer Associate). Read the AI-103 study guide.
Practice with 293 curated questions covering all exam domains. Each question includes detailed explanations.
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Our AI-102 study notes cover all exam domains, important concepts, and practical examples to help you prepare effectively.
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Access official Microsoft learning paths, documentation, and supplementary materials to master the AI-102 certification objectives.
View your strengths, areas to improve, and performance by domain. Track your journey to certification.
Understand the core concepts of machine learning, from supervised to unsupervised learning, and when to use each approach.
Understand how neural networks work, from perceptrons to deep learning architectures like CNNs and transformers.
Learn how machines understand and process human language, from tokenization to modern LLMs.
120 minutes
~50 questions
700 (scaled)
AI-102
Microsoft
Resource provisioning, AI solution architecture, Security and compliance
Image analysis, Video analysis, Custom Vision
Text analytics, Language understanding, Speech services
Azure Cognitive Search, Document Intelligence, Custom skills
Azure OpenAI Service, Prompt engineering, RAG patterns
Build AI apps and agents with Microsoft Foundry
Cloud concepts and Azure services basics
Manage Azure identities, governance, and resources
Design, build, and deploy Azure solutions
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