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Skills measured
- Describe AI workloads and considerations (15-20%)
- Describe features of computer vision workloads on Azure (15-20%)
- Describe features of conversational AI workloads on Azure (15-20%)
- Describe fundamental principles of machine learning on Azure (30-35%)
- Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)
How much AZ-900:Microsoft Azure AI Fundamentals Exam Cost
The exam cost of Microsoft Azure AI Fundamentals is 99 USD.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-900
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The average salary of an AI-900: Microsoft Azure AI Fundamentals Exam Outlook and Modules Exam Certified Expert in:
- United States - 155,000 USD
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- India - 11,42,117 INR
- Europe - 105,000 EURO
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Microsoft AI-900 中文 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Features of computer vision workloads on Azure | 15–20% | - Describe capabilities of Azure Face - Describe capabilities of Azure Custom Vision - Describe capabilities of Azure Form Recognizer - Describe capabilities of Azure Computer Vision - Identify types of computer vision solutions |
| Topic 2: Artificial Intelligence workloads and considerations | 15–20% | - Describe responsible AI principles - Identify types of AI workloads - Describe considerations for developing AI solutions |
| Topic 3: Features of generative AI workloads on Azure | 20–25% | - Describe use cases for generative AI - Describe responsible AI practices for generative AI - Describe generative AI concepts - Describe capabilities of Azure OpenAI Service |
| Topic 4: Fundamental principles of machine learning on Azure | 15–20% | - Describe capabilities of Azure Machine Learning - Describe automated machine learning - Describe machine learning pipelines - Describe core concepts of machine learning |
| Topic 5: Features of Natural Language Processing (NLP) workloads on Azure | 15–20% | - Describe capabilities of Azure Language - Describe capabilities of Azure Translator - Identify types of NLP solutions - Describe capabilities of Azure Speech |
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