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

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Summary

  • intermediate
  • azure-qna-maker
  • azure-translator-text
  • azure-translator-speech
  • azure-text-speech
  • azure-text-analytics
  • azure-speech-translation
  • azure-speech-text
  • azure
  • azure-language-understanding
  • azure-form-recognizer
  • azure-computer-vision
  • azure-cognitive-services
  • azure-cognitive-search
  • azure-bot-service
  • 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. They 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.Note: This exam will be available on February 23, 2021.

Learning paths

1 hr 3 min
Learn how to implement the Speech services found in Azure Cognitive Services by performing speech-to-text transcription, synthesize text input to speech, perform speech translation, and implement speaker recognition in your AI infused applications
3 hr 15 min
Process and classify images with the Azure cognitive vision services
2 hr 51 min
Process natural language with Azure Cognitive Language Services
2 hr 35 min
Do you have information locked up in structured and unstructured data sources? Using Azure Cognitive Search, you can extract key insights from this data, and enable applications to search and analyze them.
1 hr 56 min
Conversational AI revolves around user interactions, in this case through Bots. In this learning path, you will learn how to create chat bots and integrate the bot with various AI services to add intelligence to the interaction. Learn how to integrate the QnA Maker Service (an easy method to add question and answers for bots), and explore the new Virtual Assistant scenarios for creating branded experiences with bots.