Azure AI Engineer Associate (AI-102 / AI-500) 2026 Study Guide
Master Azure OpenAI Service, AI Search, Prompt Flow, and Azure AI Content Safety to clear the Microsoft Certified Azure AI Engineer exam.
Introduction
The Microsoft Certified: Azure AI Engineer Associate certification evaluates your skill in designing and implementing AI solutions using Azure AI Services, Azure Search, and Azure OpenAI Service.
Microsoft has heavily updated the exam syllabus in 2026 to focus on enterprise Generative AI solution development.
Exam Skill Breakdown
1. Azure OpenAI Service Implementation (30-35%)
- Deploying models (GPT-4o, GPT-4o-mini, DALL-E 3) and configuring Provisioned Throughput Units (PTU) vs Pay-as-you-go.
- Grounding Azure OpenAI models on custom enterprise data (Azure OpenAI on your data).
- Fine-tuning models in Azure AI Studio and managing quota allocations across regions.
2. Intelligent Search and RAG Solutions (20-25%)
- Setting up Azure AI Search (formerly Cognitive Search): Indexers, Indexing pipelines, Skillsets.
- Configuring Vector Search, Hybrid Search (keyword + vector), and Semantic Ranking for maximum relevance.
- Integrating Azure AI Search vector stores with Azure OpenAI models.
3. Generative AI Orchestration & Evaluation (20-25%)
- Prompt Flow: Creating visual flows, evaluation metrics (Groundedness, Relevance, Coherence), and deploying endpoints.
- Developing custom agents using Azure AI Agent Service.
- Monitoring production deployments with Application Insights and Azure AI Content Safety.
4. Computer Vision, Language & Speech Services (15-20%)
- Azure AI Vision: Image analysis, OCR, custom vision models.
- Azure AI Language: Entity recognition, sentiment analysis, custom text classification.
- Azure AI Speech: Speech-to-text, text-to-speech, custom voice models.
Preparation Tips
- Focus on Azure AI Search Hybrid Querying: Understand how RRF (Reciprocal Rank Fusion) combines keyword scores and vector similarity scores.
- Learn Azure AI Content Safety Filters: Know how to configure severity thresholds for violence, hate, self-harm, and sexual content.
- Practice Prompt Flow Deployment: Understand how to package prompt flows as managed online endpoints in Azure ML/AI Studio.
BetaStudy Team
The BetaStudy team consists of certified cloud architects, DevOps engineers, and IT professionals with decades of combined experience. Our team holds over 100 certifications across AWS, Azure, GCP, Kubernetes, CompTIA, and other major platforms. We're dedicated to helping IT professionals pass their certification exams on the first try.