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

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The content of this exam was updated on May 20, 2020. Please download the skills measured document below to see what changed.

Candidates for this exam 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 an Azure AI Engineer include analyzing requirements for AI solutions, 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.

A candidate for this exam should have knowledge 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. In addition, a candidate should be able to 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.

Part of the requirements for: Microsoft Certified: Azure AI Engineer Associate

Related exams: none

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

    Languages: English, Japanese, Chinese (Simplified), Korean

    Retirement date: none

    This exam measures your ability to accomplish the following technical tasks: analyze solution requirements; design solutions; integrate AI models into solutions; and deploy and manage solutions.

    Price based on the country in which the exam is proctored.

    for Designing and Implementing an Azure AI Solution

    All objectives of the exam are covered in depth so you'll be ready for any question on the exam.

Skills measured

  • The content of this exam was updated on May 20, 2020. Please download the exam skills outline below to see what changed.
  • Analyze solution requirements (25-30%)
  • Design AI solutions (40-45%)
  • Implement and monitor AI solutions (25-30%)

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Learning paths to gain the skills needed to become certified

There may be certifications and prerequisites related to "Exam AI-100: Designing and Implementing an Azure AI Solution"

  • Microsoft Certified: Azure AI Engineer Associate

    Azure AI Engineers use Cognitive Services, Machine Learning, and Knowledge Mining to architect and implement Microsoft AI solutions involving natural language processing, speech, computer vision, bots, and agents.

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* Pricing does not reflect any promotional offers or reduced pricing for Microsoft Imagine Academy program members, Microsoft Certified Trainers, and Microsoft Partner Network program members. Pricing is subject to change without notice. Pricing does not include applicable taxes. Please confirm exact pricing with the exam provider before registering to take an exam.

** Complete this exam before the retirement date to ensure it is applied toward your certification. After the retirement date, please refer to the related certification for exam requirements.