Certifications•17 min read
Azure AI Engineer (AI-102) Certification Guide
Build AI solutions with Azure AI-102 certification guide. Learn Cognitive Services, Bot Service, and AI implementation.
By Andy Pham
Azure AI Engineer (AI-102) Certification Guide
The AI-102 certification validates your ability to build, manage, and deploy AI solutions using Azure Cognitive Services.
Exam Overview
| Aspect | Details |
|---|---|
| Exam Code | AI-102 |
| Duration | 120 minutes |
| Questions | 40-60 questions |
| Passing Score | 700/1000 |
| Cost | $165 USD |
Exam Domains
Plan and Manage AI Solutions (25-30%)
- AI solution requirements
- Responsible AI implementation
Implement Computer Vision (15-20%)
- Image analysis
- Custom vision
Implement NLP (25-30%)
- Text analytics
- Conversational AI
Implement Knowledge Mining (15-20%)
- Azure Cognitive Search
- Custom skills
Implement Generative AI (10-15%)
- Azure OpenAI Service
Code Example
from azure.cognitiveservices.vision.computervision import ComputerVisionClient
from msrest.authentication import CognitiveServicesCredentials
client = ComputerVisionClient(
endpoint="https://your-resource.cognitiveservices.azure.com/",
credentials=CognitiveServicesCredentials("your-key")
)
result = client.analyze_image(
url="https://example.com/image.jpg",
visual_features=["Categories", "Description", "Objects"]
)
Practice with ExamCert
ExamCert provides 600+ practice questions for AI-102 covering AI engineering scenarios.