Main Prerequisites
Before you decide to take the Microsoft AI-100 exam, it is important that you understand all the knowledge requirements for this test. The exam is not designed for the general public, so you need to possess certain competence before attempting it. The target candidates for this certification test should have the following skills:
- Ability to put forward solutions that utilize open source technologies with understanding the elements that make up the Azure AI portfolio along with the available data storage options.
- Familiarity with data storage in Azure, Azure Cognitive Search, Microsoft Azure Cognitive Services, and Azure Bot Service.
- Understanding when a custom API should be developed to satisfy certain business requirements.
- Expertise in implementing and designing AI applications and agents that utilize Microsoft Azure Cognitive Services.
Reference: https://www.microsoft.com/en-us/learning/exam-ai-100.aspx
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Passing the Microsoft AI-100: Designing and Implementing an Azure AI Solution exam is required for anyone who wants to earn the Microsoft Certified: Azure AI Engineer Associate certification. This test evaluates the ability of the candidates to perform the following technical tasks: analyzing solution requirements; designing solutions; integrating AI models into solutions; and deploying and handling solutions.
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Microsoft AI-100 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Implement Natural Language Processing (NLP) | - Language understanding solutions
|
| Implement Computer Vision Solutions | - Image analysis and processing
|
| Responsible AI and Monitoring | - AI ethics and governance
|
| Design AI Solutions on Azure | - Design conversational AI solutions
|
| Implement Knowledge Mining and Search Solutions | - Azure Cognitive Search
|







