Candidates for Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution build, manage, and deploy AI solutions that leverage Azure Cognitive Services and Azure Applied AI services.
Their responsibilities include participating in all phases of AI solutions development—from requirements definition and design to development, deployment, maintenance, performance tuning, and monitoring.
They work with solution architects to translate their vision and with data scientists, data engineers, IoT specialists, and AI developers to build complete end-to-end AI solutions.
Candidates for this exam should be proficient in C# or Python and should be able to use REST-based APIs and SDKs to build computer vision, natural language processing, knowledge mining, and conversational AI solutions on Azure.
They should also understand the components that make up the Azure AI portfolio and the available data storage options. Plus, candidates need to understand and be able to apply responsible AI principles.
You may be eligible for ACE college credit if you pass this certification exam. See ACE college credit for certification exams for details.
The English language version of this exam was updated on October 25, 2022. Please download the study guide listed in the “Tip” box to see the current skills measured. If a localized version of this exam is available, it will be updated approximately eight weeks after this date.
Passing score: 700. Learn more about exam scores.
Part of the requirements for: Microsoft Certified: Azure AI Engineer Associate
Related exams: none
Important: See detailsGo to Certification Dashboard
- The English language version of this exam was updated on October 25, 2022. Download the study guide in the preceding “Tip” box for more details about the skills measured on this exam.
- Plan and manage an Azure Cognitive Services solution (10–15%)
- Implement Computer Vision solutions (20–25%)
- Implement natural language processing solutions (25–30%)
- Implement knowledge mining solutions (15–20%)
- Implement conversational AI solutions (10–15%)
Two ways to prepare
Azure AI engineers build, manage, and deploy AI solutions that leverage Azure Cognitive Services and Azure Applied AI services.
Explore steps to get certified as an Azure AI Engineer Associate and the resources available to help you prepare.
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