Microsoft AI Engineering Training

Microsoft AI Engineering

Azure AI Engineering

  • Skills at a glance
    • Plan and manage an Azure AI solution (15–20%)
    • Implement content moderation solutions (10–15%)
    • Implement computer vision solutions (15–20%)
    • Implement natural language processing solutions (30–35%)
    • Implement knowledge mining and document intelligence solutions (10–15%)
    • Implement generative AI solutions (10–15%)
  • Plan and manage an Azure AI solution (15–20%)
  • Select the appropriate Azure AI service
    • Select the appropriate service for a computer vision solution
    • Select the appropriate service for a natural language processing solution
    • Select the appropriate service for a speech solution
    • Select the appropriate service for a generative AI solution
    • Select the appropriate service for a document intelligence solution
    • Select the appropriate service for a knowledge mining solution
  • Plan, create and deploy an Azure AI service
    • Plan for a solution that meets Responsible AI principles
    • Create an Azure AI resource
    • Determine a default endpoint for a service
    • Integrate Azure AI services into a continuous integration and continuous delivery (CI/CD) pipeline
    • Plan and implement a container deployment
  • Manage, monitor, and secure an Azure AI service
    • Configure diagnostic logging
    • Monitor an Azure AI resource
    • Manage costs for Azure AI services
    • Manage account keys
    • Protect account keys by using Azure Key Vault
    • Manage authentication for an Azure AI Service resource
    • Manage private communications
  • Implement content moderation solutions (10–15%)
  • Create solutions for content delivery
    • Implement a text moderation solution with Azure AI Content Safety
    • Implement an image moderation solution with Azure AI Content Safety
  • Implement computer vision solutions (15–20%)
  • Analyze images
    • Select visual features to meet image processing requirements
    • Detect objects in images and generate image tags
    • Include image analysis features in an image processing request
    • Interpret image processing responses
    • Extract text from images using Azure AI Vision
    • Convert handwritten text using Azure AI Vision
  • Implement custom computer vision models by using Azure AI Vision
    • Choose between image classification and object detection models
    • Label images
    • Train a custom image model, including image classification and object detection
    • Evaluate custom vision model metrics
    • Publish a custom vision model
    • Consume a custom vision model
  • Analyze videos
    • Use Azure AI Video Indexer to extract insights from a video or live stream
    • Use Azure AI Vision Spatial Analysis to detect presence and movement of people in video
  • Implement natural language processing solutions (30–35%)
  • Analyze text by using Azure AI Language
    • Extract key phrases
    • Extract entities
    • Determine sentiment of text
    • Detect the language used in text
    • Detect personally identifiable information (PII) in text
  • Process speech by using Azure AI Speech
    • Implement text-to-speech
    • Implement speech-to-text
    • Improve text-to-speech by using Speech Synthesis Markup Language (SSML)
    • Implement custom speech solutions
    • Implement intent recognition
    • Implement keyword recognition
  • Translate language
    • Translate text and documents by using the Azure AI Translator service
    • Implement custom translation, including training, improving, and publishing a custom model
    • Translate speech-to-speech by using the Azure AI Speech service
    • Translate speech-to-text by using the Azure AI Speech service
    • Translate to multiple languages simultaneously
  • Implement and manage a language understanding model by using Azure AI Language
    • Create intents and add utterances
    • Create entities
    • Train, evaluate, deploy, and test a language understanding model
    • Optimize a language understanding model
    • Consume a language model from a client application
    • Backup and recover language understanding models
  • Create a question answering solution by using Azure AI Language
    • Create a question answering project
    • Add question-and-answer pairs manually
    • Import sources
    • Train and test a knowledge base
    • Publish a knowledge base
    • Create a multi-turn conversation
    • Add alternate phrasing
    • Add chit-chat to a knowledge base
    • Export a knowledge base
    • Create a multi-language question answering solution
  • Implement knowledge mining and document intelligence solutions (10–15%)
  • Implement an Azure AI Search solution
    • Provision an Azure AI Search resource
    • Create data sources
    • Create an index
    • Define a skillset
    • Implement custom skills and include them in a skillset
    • Create and run an indexer
    • Query an index, including syntax, sorting, filtering, and wildcards
    • Manage Knowledge Store projections, including file, object, and table projections
  • Implement an Azure AI Document Intelligence solution
    • Provision a Document Intelligence resource
    • Use prebuilt models to extract data from documents
    • Implement a custom document intelligence model
    • Train, test, and publish a custom document intelligence model
    • Create a composed document intelligence model
    • Implement a document intelligence model as a custom Azure AI Search skill
  • Implement generative AI solutions (10–15%)
  • Use Azure OpenAI Service to generate content
    • Provision an Azure OpenAI Service resource
    • Select and deploy an Azure OpenAI model
    • Submit prompts to generate natural language
    • Submit prompts to generate code
    • Use the DALL-E model to generate images
    • Use Azure OpenAI APIs to submit prompts and receive responses
  • Optimize generative AI
    • Configure parameters to control generative behavior
    • Apply prompt engineering techniques to improve responses
    • Use your own data with an Azure OpenAI model
    • Fine-tune an Azure OpenAI model
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