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

To pass the exam, just go through the study guide and get yourself familiar with the concepts that include:

• Plan and manage an Azure Cognitive Services solution
• Implement Computer Vision solutions
• Implement natural language processing solutions
• Implement knowledge mining solutions
• Implement conversational AI solutions

AI-102 Online Tutorial

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.

• 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.

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%)

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

There are approximately 40-60 questions in the AI-102 exam.