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Exam Information
Official specifications published by Microsoft
Exam Format
100 min
40-60
700
Associate
Registration
$165 USD
Pearson VUE or online proctoring
English, Japanese, Chinese (Simplified), Korean +6 more
Validity
1 year
Free online assessment on Microsoft Learn annually; Pass renewal assessment before expiration; Complete specified Microsoft Learn modules
AI-102 Exam Topics and Domains
AI-102 is organized into 6 weighted domains. Expect to work with Azure AI Document Intelligence, Azure AI Foundry, Azure OpenAI Service, Azure AI Search, and more.
1
Plan and manage an Azure AI solution
22.5%
Select the appropriate Azure AI Foundry services
Select the appropriate service for a generative AI solutionSelect the appropriate service for a computer vision solutionSelect the appropriate service for NLP and speech solutionsSelect services for knowledge mining
- Select the appropriate Azure AI Foundry service based on solution requirements
- Understand service capabilities and limitations
- Match business requirements to technical solutions
Plan, create and deploy an Azure AI Foundry service
Plan for Responsible AI principlesCreate and deploy Azure AI resources
- Create and configure Azure AI resources
- Deploy models using appropriate methods
- Integrate AI services into applications
Manage, monitor, and secure an Azure AI Foundry Service
Monitor and manage AI resourcesSecure AI solutions
- Monitor AI solution performance and costs
- Implement security best practices
- Manage authentication and authorization
Implement AI solutions responsibly
Content moderation and safety
- Implement content moderation solutions
- Configure responsible AI insights
- Design governance frameworks
2
Implement generative AI solutions
17.5%
Build generative AI solutions with Azure AI Foundry
Deploy and configure generative AI resourcesEvaluate and integrate solutions
- Plan and prepare generative AI solutions
- Deploy and configure AI Foundry resources
- Implement RAG patterns for grounding
Use Azure OpenAI in Foundry Models to generate content
Deploy and use Azure OpenAI modelsGenerate code and natural language
- Provision and deploy Azure OpenAI resources
- Generate various content types
- Integrate OpenAI into applications
Optimize and operationalize a generative AI solution
Configure and optimize generationMonitor and scale solutionsAdvanced deployment scenarios
- Configure generation parameters
- Monitor and optimize performance
- Implement advanced deployment patterns
3
Implement an agentic solution
7.5%
Create custom agents
Understand and design agentsImplement complex agent solutions
- Understand agent architectures and use cases
- Create agents using Azure AI Foundry
- Implement multi-agent solutions
4
Implement computer vision solutions
12.5%
Analyze images
Image analysis and feature detection
- Select and use visual features
- Detect objects and generate tags
- Extract text using OCR
Implement custom vision models
Build and train custom modelsCode-first custom vision
- Choose appropriate model types
- Train and evaluate custom models
- Deploy and consume models
Analyze videos
Video analysis and insights
- Extract insights from videos
- Implement spatial analysis
- Process live video streams
5
Implement natural language processing solutions
17.5%
Analyze and translate text
Text analysisTranslation services
- Extract information from text
- Analyze text sentiment and language
- Implement translation solutions
Process and translate speech
Speech services implementationSpeech translation
- Implement speech recognition and synthesis
- Customize speech output with SSML
- Build speech translation solutions
Implement custom language models
Language understanding modelsQuestion answering solutions
- Create custom language understanding models
- Build question answering solutions
- Implement multi-language support
6
Implement knowledge mining and information extraction solutions
17.5%
Implement an Azure AI Search solution
Search infrastructure and indexingSearch implementation and optimization
- Provision and configure Azure AI Search
- Create indexes and skillsets
- Implement advanced search features
Implement an Azure AI Document Intelligence solution
Document processing with prebuilt modelsCustom document intelligence models
- Use prebuilt models for document extraction
- Train and deploy custom models
- Create composed document models
Extract information with Azure AI Content Understanding
Content extraction pipelines
- Create content extraction pipelines
- Process various content types
- Extract structured information
How do I earn this certification?
Practice with Precision
The PlanetCert Simulator mirrors the real exam environment with authentic questions and timed pressure.
How to study for this exam?
Use the official PlanetCert Practice Test alongside the study plan below to prepare efficiently for AI-102.
What's changed on this exam?
Current Status
- ACTIVE
- Announcement date: 2025-02-15
Updates
- Azure AI Foundry 2.0 Major new exam domain - 15-20% of questions • Release date: 2025-03-15
- Semantic Kernel 1.5 Used in agentic solutions domain • Release date: 2025-04-01
- AutoGen 0.2 Multi-agent orchestration scenarios • Release date: 2025-05-01
- Azure AI Content Understanding 1.0 New service in knowledge mining domain • Release date: 2025-02-01
Who should take this exam?
- Experience with Python or C# programming
- Understanding of REST APIs and SDKs
- Knowledge of Azure fundamentals
- Basic understanding of AI and ML concepts
- Experience building solutions with Azure AI services
- Working knowledge of JSON and data formats
- Understanding of authentication and security in Azure
- Experience with Azure portal and CLI