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

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

The Designing and Implementing a Microsoft Azure AI Solution (AI-102) certification validates your ability to design, develop, and deploy artificial intelligence (AI) solutions on the Microsoft Azure platform.

Who should consider this exam?

Software developers: Enhance your skillset by Learning to build AI-infused applications leveraging Azure AI services.
Data scientists and machine Learning engineers: Broaden your knowledge of deploying models into production environments.
Cloud architects: Design and implement secure and scalable AI solutions on Azure.
IT professionals seeking career advancement in AI: Validate your skills and stand out in the job market.

Microsoft Azure AI Solution AI-102 Course Outline

Domain 1 - Understanding to plan and manage an Azure AI solution (15–20%)
Domain 2 - Understanding to implement decision support 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%)

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

What is AI-102 course outline?

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

Plan and manage an Azure Cognitive Services solution (15-20%)
Implement Computer Vision solutions (20-25%)
Implement natural language processing solutions (20-25%)
Implement knowledge mining solutions (15-20%)
Implement conversational AI solutions (15-20%)

What is the passing score for AI-102 exam?

You need to score 700 on a scale of 1-1000 to pass the AI-102 exam.

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.