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Microsoft Certified: Azure AI Engineer Associate

Fahad Farid

Microsoft Certified: Azure AI Engineer Associate

Candidates for the Azure AI Engineer Associate certification should have subject matter expertise using cognitive services, Machine Learning, and knowledge mining to architect and implement Microsoft AI solutions involving natural language processing, speech, computer vision, and conversational AI.

Responsibilities for this role include analyzing AI solutions requirements, recommending the appropriate tools and technologies, and designing and implementing AI solutions that meet scalability and performance requirements.

Azure AI Engineers translate the vision from solution architects and work with data scientists, data engineers, IoT specialists, and software developers to build complete end-to-end solutions.

Requirements

A candidate for this certification should know and experience designing and implementing AI apps and agents that use Microsoft Azure Cognitive Services, Azure Bot Service, Azure Cognitive Search, and data storage in Azure. A candidate should also recommend solutions that use open source technologies, understand the components that make up the Azure AI portfolio and the available data storage options, and understand when a custom API should be developed to meet specific requirements.

Skills measured

To fulfill the requirements and needs for this certification, candidates must be able to:

  • Analyze solution requirements
  • Design AI solutions
  • Implement and monitor AI solutions

Exam

Exam AI-100: Designing and Implementing an Azure AI Solution

The exam tests the following skills:

  • Analyze solution requirements (25-30%)
  • Design AI solutions (40-45%)
  • Implement and monitor AI solutions (25-30%)

Register for your test here.

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Fahad Farid
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