Designing and Implementing a Microsoft Azure AI Solution AI-102 guide torrent materials
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Designing and Implementing a Microsoft Azure AI Solution Exam Certification Details:
| Passing Score | 700 / 1000 |
| Schedule Exam | Pearson VUE |
| Exam Price | $165 (USD) |
| Books / Training | Course AI-102T00: Designing and Implementing a Microsoft Azure AI Solution |
| Sample Questions | Designing and Implementing a Microsoft Azure AI Solution Sample Questions |
| Number of Questions | 40-60 |
| Exam Name | Microsoft Certified - Azure AI Engineer Associate |
| Duration | 130 mins |
| Exam Code | AI-102 |
How much AI-102: Designing and Implementing an Azure AI Solution Exam Cost
The price of the Microsoft Mobility and Devices Fundamentals exam is $165 USD, for more information related to exam price please visit to Microsoft Training website as prices of Microsoft exams fees get varied country wise.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102
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AI-102: Designing and Implementing an Azure AI Solution Exam Certified Professional salary
The average salary of a AI-102: Designing and Implementing an Azure AI Solution Exam Certified Expert in
- Europe - 90,547 EURO
- United State - 120,000 USD
- England - 90,532 POUND
- India - 20,00,327 INR
Microsoft AI-102 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Implement generative AI solutions | 15-20% | - Deploy and manage generative models - Implement model monitoring and feedback - Orchestrate multiple models and containers - Integrate Azure OpenAI and other generative models - Apply prompt engineering and fine-tuning |
| Implement natural language processing solutions | 15-20% | - Perform text analysis, sentiment detection, and language detection - Implement translation and summarization - Build conversational AI and chatbots - Customize and deploy NLP models |
| Implement knowledge mining and information extraction solutions | 15-20% | - Implement intelligent search and retrieval - Extract entities, relationships, and key phrases - Ingest and process structured/unstructured data - Build knowledge bases and search indexes |
| Plan and manage an Azure AI solution | 20-25% | - Monitor, optimize, and secure AI solutions - Choose services for generative AI, computer vision, NLP, speech, information extraction, knowledge mining - Select appropriate Microsoft Foundry Services - Create and configure Azure AI resources - Select suitable AI models - Plan solutions aligned with responsible AI principles |
| Implement computer vision solutions | 10-15% | - Analyze images and detect objects/features - Extract text and handwriting from images - Integrate vision capabilities into applications - Build and deploy custom vision models - Process and index video content |
| Implement an agentic solution | 5-10% | - Understand agent use cases and types - Test, deploy, and optimize agents - Build agents with Microsoft Foundry Agent Service - Develop multi-agent workflows and orchestration |



