MICROSOFTMicrosoft Certified:Azure AI Fundamentals
The Microsoft Certified: Azure AI Fundamentals certification validates your understanding of AI and machine learning concepts and their implementation using Microsoft Azure services. It is designed for individuals with both technical and non-technical backgrounds who want to demonstrate foundational knowledge in AI solutions.
429 practice questions · Updated 2026-07-30
5Domains
11Objectives
92Concepts
429Questions
AI-900 Curriculum
Every domain, objective, and concept the AI-900 exam measures.
- Computer Vision Basics
- Image Classification
- Object Detection
- Facial Recognition
- Natural Language Processing Basics
- Sentiment Analysis
- Language Translation
- Text Summarization
- Document Processing Basics
- Optical Character Recognition
- Form Recognition
- Generative AI Basics
- Text Generation
- Image Generation
- Fairness in AI
- AI Reliability
- AI Safety
- Privacy in AI
- Security in AI
- Inclusiveness in AI
- Transparency in AI
- Accountability in AI
- Regression Scenarios
- Classification Scenarios
- Clustering Scenarios
- Deep Learning Features
- Transformer Architecture Features
- Features in Machine Learning
- Labels in Machine Learning
- Training Dataset
- Validation Dataset
- Dataset Splitting
- Automated Machine Learning Overview
- Automated ML Workflow
- Data Services for ML
- Compute Services for ML
- Model Management in Azure ML
- Model Deployment in Azure ML
- Endpoint Management
- Image Classification Basics
- Image Classification Models
- Object Detection Basics
- Object Detection Models
- Optical Character Recognition (OCR) Basics
- OCR Use Cases
- Facial Detection Basics
- Facial Analysis Features
- Azure AI Vision Service Overview
- Image Analysis
- Optical Character Recognition (OCR)
- Image Moderation
- Custom Vision
- Azure AI Face Detection Service Overview
- Face Detection
- Face Verification
- Face Identification
- Facial Attributes Analysis
- Key Phrase Extraction
- Entity Recognition
- Sentiment Analysis
- Language Modeling
- Speech Recognition
- Speech Synthesis
- Translation
- Speech Synthesis 101
- Azure AI Language Service Overview
- Text Analytics Capabilities
- Language Understanding
- Translation Capabilities
- Azure AI Speech Service Overview
- Speech-to-Text Capabilities
- Text-to-Speech Capabilities
- Speech Translation
- Generative AI Model Characteristics
- Generative AI Model Types
- Generative AI Use Cases
- Content Generation
- Data Augmentation
- Simulation and Modeling
- Responsible AI Principles
- Bias and Fairness in Generative AI
- Transparency in Generative AI
- Accountability in AI Solutions
- Azure AI Foundry Overview
- Azure AI Foundry Features
- Azure AI Foundry Capabilities
- Azure OpenAI Service Overview
- Azure OpenAI Service Features
- Azure OpenAI Service Capabilities
- Azure AI Foundry Model Catalog Overview
- Azure AI Foundry Model Catalog Features
- Azure AI Foundry Model Catalog Capabilities
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Percentages reflect share of the current practice bank, not official exam weightings — no structured per-skill weight is published for AI-900, so none is invented.