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Explain Computer Vision Workloads Features on Azure (15-20%)

Here, the following skills will be measured:

  • Identify Azure services & tools for Computer Vision Projects – This section requires that the learners identify different capabilities of Computer Vision service, Face service, Customer Vision service, and Form Recognizer service.
  • Identify the basic types of Computer Vision Solution – The candidates need to understand and be able to identify a range of features. They include image classification solutions, semantic segmentation solutions, object detection solutions, and optical attributes recognition solutions. It also covers the attributes of facial recognition, facial analysis, and facial detection solutions.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-900

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  • United States - 155,000 USD
  • India - 11,42,117 INR
  • England - 55,900 POUNDS
  • Europe - 105,000 EURO

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Microsoft AI-900 Korean Exam Syllabus Topics:

SectionWeightObjectives
Describe fundamental principles of machine learning on Azure30-35%- Describe features of no-code automated ML
- Identify common machine learning tasks
- Describe core machine learning concepts
- Describe Azure Machine Learning capabilities
Describe features of computer vision workloads on Azure15-20%- Identify common computer vision tasks
- Identify Azure AI services for computer vision
- Describe Azure capabilities for computer vision
Describe features of Natural Language Processing (NLP) workloads on Azure15-20%- Identify common NLP tasks
- Identify Azure AI services for NLP
- Describe Azure capabilities for NLP
Describe features of Generative AI workloads on Azure15-20%- Describe generative AI concepts
- Describe Azure OpenAI Service capabilities
- Identify responsible AI considerations for generative AI
Describe AI workloads and considerations15-20%- Identify guiding principles for responsible AI
- Identify features of common AI workloads

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