Designing and Implementing a Microsoft Azure AI Solution (AI-102)

Designing and Implementing a Microsoft Azure AI Solution (AI-102) 

Designing and Implementing a Microsoft Azure AI Solution AI-102 certification exam measures your ability to accomplish technical tasks including - plan and manage Azure Cognitive Services solutions; implement Computer Vision solutions; implement natural language processing solutions; implement knowledge mining solutions, and implement conversational AI solutions.

Who should take the AI-102 exam?

• Candidates for Exam AI-102 should have subject matter expertise building, managing, and deploying AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework.
• Candidates for this exam should be proficient in C#, Python, or JavaScript 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.
• Candidates 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.

Microsoft Azure AI Solution AI-102 Course Outline

The Designing and Implementing a Microsoft Azure AI Solution (AI-102) Exam covers the latest exam updates and topics - 

• Domain 1 - Understanding to plan and manage an Azure AI solution (15–20%)
  
• Domain 2 - Understanding to implement content moderation solutions (10–15%)
• Domain 3 - Understanding to implement computer vision solutions (15–20%)
• Domain 4 - Understanding to  implement natural language processing solutions (30–35%)
• Domain 5 - Understanding to implement knowledge mining and document intelligence solutions (10–15%)
• Domain 5 - Understanding to implement generative AI solutions (10–15%)

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