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

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Summary

  • intermediate
  • azure-qna-maker
  • azure-video-indexer
  • azure-translator-text
  • azure-translator-speech
  • azure-translator
  • azure-text-speech
  • azure-text-analytics
  • azure-speech-translation
  • azure-speech-text
  • azure-speech
  • azure
  • azure-language-understanding
  • azure-form-recognizer
  • azure-face
  • azure-custom-vision
  • 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

Modules in this learning path

  • Transcribe speech input to text
    9 Units
    27 min

    Speech to text from the speech service, known as speech recognition, enables real time transcription of audio streams into text. Your applications, tools, or devices can consume, display, and take action on this text as command input.

  • Translate speech with the speech service
    6 Units
    18 min

    Perform speech translation tasks with the speech service to translate spoken text to different languages.

  • Synthesize Text Input to Speech
    6 Units
    18 min

    Learn how to synthesize text to speech using the Speech-to-Text service.

3 hr 15 min
Process and classify images with the Azure cognitive vision services

Modules in this learning path

  • Extract insights from videos with the Video Indexer service
    9 Units
    27 min

    Learn how to use the Video Indexer API to upload, index, retrieve insights, and search for content in video files.

  • Identify faces and expressions by using the Computer Vision API in Azure Cognitive Services
    12 Units
    47 min

    Learn about the Computer Vision API in Azure that allows you to identify facial details in pictures.

  • Process images with the Computer Vision service
    7 Units
    32 min

    Use the Computer Vision API to analyze images for insights, extract text from images, and generate high-quality thumbnails.

  • Classify images with the Microsoft Custom Vision Service
    7 Units
    40 min

    Create, train and test a custom image classification model using the Custom Vision Service to accurately identify paintings from famous artists.

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.