AI-100: Designing and Implementing an Azure AI Solution

Data professionals capture and analyze exponential amounts of data

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Summary

  • intermediate
  • azure
  • azure-cognitive-services
  • azure-bot-service
  • azure-machine-learning-service
  • azure-machine-learning-studio
  • azure-search
  • Candidates for this exam analyze the requirements for AI solutions, recommend appropriate tools and technologies, and implements solutions that meet scalability and performance requirements.Candidates translate the vision from solution architects and work with data scientists, data engineers, IoT specialists, and AI developers to build complete end-to-end solutions. Candidates design and implement AI apps and agents that use Microsoft Azure Cognitive Services and Azure Bot Service. Candidates can recommend solutions that use open source technologies.Candidates understand the components that make up the Azure AI portfolio and the available data storage options.Candidates implement AI solutions that use Cognitive Services, Azure bots, Azure Search, and data storage in Azure. Candidates understand when a custom API should be developed to meet specific requirements.

Learning paths

2 hr 45 min
Microsoft Cognitive Services offers pre-built functionality to enable computer vision functionality in your applications. Learn how to use the Cognitive Vision Services to detect faces, tag and classify images, and identify objects.

Modules in this learning path

  • 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.

1 hr 9 min
Learn how to create an account on Azure Machine Learning Studio, create a sample experiment, and then publish and deploy the experiment for consumption as a web service.

Modules in this learning path

  • Create an Azure Machine Learning Studio Account
    6 Units
    28 min

    Get a high-level overview of machine learning and Microsoft Azure Machine Learning Studio.

  • Create an Experiment in Azure Machine Learning Studio
    7 Units
    41 min

    Learn how to use Microsoft Azure Machine Learning Studio to create an experiment, test it, and then publish it as a web service.

2 hr 38 min
Learn how to build a chat bot and add intelligence to the Bot by integrating QnA Maker and LUIS.

Modules in this learning path

  • Build an FAQ chatbot with QnA Maker and Azure Bot Service
    7 Units
    48 min

    Learn about QnA Maker and how to integrate it with a bot

  • Build a bot with QnA Maker and Azure Bot Service
    5 Units
    29 min

    Bots are a popular way to provide support through multiple communication channels. This module describes how to use the QnA Maker service and Azure Bot Service to create a bot that answers user questions.

2 hr 13 min
Learn how to use Cognitive Language Services to analyze text, determine intent, detect adult themes, and process natural language input.

Modules in this learning path

  • Classify and moderate text with Azure Content Moderator
    6 Units
    31 min

    Learn how to implement text moderation with the Azure Content Moderator service.

  • Add conversational intelligence to your apps by using Language Understanding Intelligent Service (LUIS)
    7 Units
    54 min

    Introduction to adding conversational intelligence to your apps by using language understanding (LUIS)

  • Discover sentiment in text with the Text Analytics API
    8 Units
    48 min

    Learn what your customers are really saying about your product or brand when they send feedback. We’ll create a solution that uses Azure Functions and the intelligence of the Text Analytics API to discover sentiment in text messages.

1 hr 44 min
Learn how to convert speech to text and recognize specific speakers in your applications by integrating the Cognitive Speech Services.

Modules in this learning path

  • Translate speech in real time with Azure Cognitive Services
    9 Units
    52 min

    Learn how to translate speech and convert it to text through real-time transcription with the Speech Translation API in Azure Cognitive Services.

  • Recognize specific voices with the Speaker Recognition APIs in Azure Cognitive Services
    10 Units
    52 min

    Learn how to use the Speaker Recognition APIs to identify specific people through their voices.

Additional courses

The learning paths above prepare you for the knowledge and skills needed to pass the exam and become certified. Enrolling in this track also enrolls you in the Microsoft Official Classroom course below. You can use this course as an extra reference to prepare for the exam.

Designing and Implementing an Azure AI Solution

Summary

Length
3 days
Level
Intermediate
Language
English

About this course

Gain the necessary knowledge for designing Azure AI solution by building a customer support chat Bot using artificial intelligence from the Microsoft Azure platform including language understanding and pre-built AI functionality in the Azure Cognitive Services.

Audience profile

This course is aimed at Cloud Solution Architects, Azure artificial intelligence designers, and AI developers.

Prerequisites

  • Azure Fundamentals
  • Understanding of Azure storage technologies
  • C# Knowledge