AI-102: Designing and Implementing an Azure AI Solution

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Course Detail

  1. 1. Module : Plan and Manage an Azure AI Solution (15–20%)

    1. Select appropriate Azure services and tools
      • Determine when to use Azure AI services, Cognitive Services, Azure Machine Learning, and Bot Service.
    2. Plan and configure security for an Azure AI solution
      • Manage authentication and authorization.
      • Secure keys and endpoints.

  2. 2. Module : Implement Computer Vision Solutions (20–25%)

    1. Analyze images by using the Computer Vision API
      • Extract image metadata and analyze visual features.
    2. Extract text from images
      • Use Optical Character Recognition (OCR) and the Read API.
    3. Analyze video
      • Use Azure Video Analyzer or the Video Indexer.
    4. Use Custom Vision service
      • Train and deploy a custom image classification model.
      • Evaluate model accuracy.

  3. 3. Module : Implement Natural Language Processing Solutions (20–25%)

    1. Analyze text with Azure Language Service
      • Use named entity recognition, sentiment analysis, key phrase extraction, and language detection.
    2. Build question answering solutions
      • Create a knowledge base and integrate it with Azure AI Search.
    3. Implement conversational language understanding
      • Train and publish a language understanding model with LUIS.
      • Use the Language Studio.

  4. 4. Module : Implement Knowledge Mining Solutions (10–15%)

    1. Implement an Azure AI Search solution
      • Create an index and define indexers and skillsets.
      • Query and refine search results.
    2. Ingest and enrich content
      • Use built-in and custom skills to enrich data.

  5. 5. Module : Implement Conversational AI Solutions (15–20%)

    1. Create a bot by using the Bot Framework SDK
      • Develop dialogs and manage conversation state.
    2. Create a bot by using the Bot Framework Composer
      • Design dialogs using a visual interface.
      • Deploy bots to Azure Bot Service.
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