2026 Exam Guide
Microsoft Azure AI Engineer Associate Study Guide
Current exam coverage, candidate guidance, important topics, and practical preparation advice for the AI-102 exam.
What Is Microsoft Azure AI Engineer Associate?
Microsoft Azure AI Engineer Associate is earned through AI-102. It validates the ability to design and implement AI solutions using Azure AI services, Azure AI Foundry concepts, language, vision, search, generative AI, and responsible AI capabilities.
Candidates should understand how to translate business requirements into AI components, integrate services through APIs and SDKs, secure resources, monitor solutions, and apply content safety and responsible AI controls. In 2026, generative AI, retrieval, agents, and grounding are especially important.
Who Should Take This Exam?
AI-102 is suitable for developers, AI engineers, cloud engineers, and solution builders who implement Azure AI services in applications.
Candidates should know REST APIs, authentication concepts, JSON, Azure fundamentals, and basic software development. Hands-on service integration is highly valuable.
Exam Domains
Plan and Manage Azure AI Solutions
CoreResource planning, security, monitoring, costs, and responsible AI.
Implement Content Moderation and Vision
CoreImage analysis, OCR, video, safety, and content processing.
Implement Natural Language Processing
CoreLanguage understanding, extraction, translation, speech, and conversational AI.
Implement Knowledge Mining and Generative AI
CoreAzure AI Search, grounding, RAG, prompts, agents, and content safety.
Common Topics Covered
- Azure AI Foundry
- Azure OpenAI
- Azure AI Search
- Computer Vision
- Document Intelligence
- Language service
- Speech service
- Content Safety
- RAG
- Managed identity
Study Tips
Build small integrations instead of only reading service pages. Practice calling APIs, authenticating securely, parsing responses, and monitoring failures.
Compare AI services by input and output type. Vision, language, search, speech, document extraction, and generative AI solve different problems even when scenarios sound similar.
Practice Questions Overview
Certoga's AI-102 questions focus on Azure AI implementation decisions, service selection, integration, security, and responsible generative AI patterns.