Candidates who are appearing for this AI 102 exam should have the below skills:

Developing an Azure Cognitive Services strategy and Implementing.

• Computer Vision solutions may be implemented
• Develop natural language Microsoft AI-102 Exam Dumps processing applications
• Knowledge-mining solutions should be implemented

Make use of AI conversational assistants

What you'll learn in the AI-102 Designing and Implementing a Microsoft Azure AI Solution certification exam?

The AI-102: Designing and Implementing a Microsoft Azure AI Solution exam covers the following domains and it is significant to get familiar with the below concepts to pass the exam:

Plan and manage an Azure AI solution (25–30%): In this domain, you can get overview of the following topics such as selection of appropriate Azure AI service , configuration of security for Azure AI services, Creation and management of Azure AI service, deployment of Azure AI services and Creation of solutions to detect anomalies and improvise the content.

Implement image and video processing solutions (15–20%): In this part, you will get the information on how to analyze the images and extract text from images,  image classification and object detection by using Vision service and process videos.

Implement natural language processing solutions (25–30%): It might cover up the topics such as analyzing text, processing speech, translating language, building and managing a language understanding model.

Implement knowledge mining solutions (5–10%): You can be familiar with the key concepts such as Implement a Cognitive Search solution and application of AI enrichment skills to an indexer pipeline.

Implement conversational AI solutions (15–20%): You might get into the topics in this domain such as design and implement conversation flow and building a conversational bot.

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