This guide covers all official exam objectives for the AI-102 certification, including planning, managing, and implementing Azure AI solutions across NLP, computer vision, generative AI, knowledge mining, and agentic AI.
This guide works best as a loop: read a chapter, test yourself with practice questions, look up unfamiliar terms in the glossary, then move to the next chapter.
16 chapters covering every exam objective. Each chapter includes key concepts, exam tips, common traps, comparison tables, and a 5-question quiz at the end.
Start Chapter 1Free timed and untimed practice with instant feedback and full explanations. Pick 10–120 questions per session. Filter by domain to drill your weak areas.
Go to practice testEvery AI-102term defined and searchable. Use it when a chapter mentions a concept you haven't seen before or want a quick refresher on.
Browse glossaryExam blueprint, domain weights, passing score, duration, cost, and registration links. Start here if you're new to this certification.
View exam guideAzure AI Fundamentals and Solution Planning
Objective 1.1 · Analyze solution requirements and plan an AI solution
Managing Azure AI Resources and Security
Objective 1.2 · Manage Azure AI resources, security, and governance
Responsible and Ethical AI on Azure
Objective 1.3 · Implement responsible AI principles and governance
NLP Solution Planning and Text Processing with Azure AI Language
Objective 2.1 · Plan and implement NLP solutions using Azure AI Language
Question Answering and Conversational Language Understanding
Objective 2.2 · Implement question answering and conversational language understanding solutions
Translation and Speech Services
Objective 2.3 · Implement translation and speech solutions
Computer Vision: Image Analysis and Classification
Objective 3.1 · Implement image analysis and classification solutions
Computer Vision: Object Detection, OCR, and Face Services
Objective 3.2 · Implement object detection, OCR, and facial recognition solutions
Computer Vision: Video Analysis and Custom Vision
Objective 3.3 · Implement video analysis and custom vision solutions
Generative AI: Model Selection and Deployment on Azure
Objective 4.1 · Plan, select, and deploy generative AI models
Generative AI: Prompt Engineering and Retrieval-Augmented Generation
Objective 4.2 · Implement prompt engineering and RAG patterns
Generative AI: Responsible Use, Fine-Tuning, and Customization
Objective 4.3 · Implement responsible use, fine-tuning, and customization of generative AI models
Knowledge Mining with Azure Cognitive Search
Objective 5.1 · Implement knowledge mining solutions using Azure Cognitive Search
Knowledge Mining with Azure Document Intelligence
Objective 5.2 · Implement knowledge mining solutions using Azure Document Intelligence (Form Recognizer)
Agentic AI and Agent-Based Solutions
Objective 6.1 · Plan and implement agentic AI solutions
Agentic Solutions: Orchestration and Tool Integration
Objective 6.2 · Implement agent orchestration and tool calling
Free AI-102 practice questions with full explanations. Test what you learn chapter by chapter.
AI-102 Practice Questions