AI-102 Microsoft Azure AI Solution Complete Exam Prep

Learn how to use Azure Cognitive Services to add AI to your own applications

Covers the requirements of the brand new AI-102 Exam, Designing and Implementing a Microsoft Azure AI Solution.

What you’ll learn

  • Know how to implement solutions for the Microsoft Azure AI platform.
  • Pass the Microsoft AI-102 Microsoft Azure AI Engineer test the first time.
  • Achieve the Azure AI Engineer Associate badge.
  • Understand the main concepts of Azure Cognitive Services, beyond the ones you normally use.
  • Be up-to-date on the latest updates to this ever-changing platform.

Course Content

  • Welcome to the Course –> 4 lectures • 22min.
  • Course Resources –> 4 lectures • 5min.
  • Plan and Manage an Azure Cognitive Services Solution –> 5 lectures • 23min.
  • Create a Cognitive Services resource –> 6 lectures • 23min.
  • Plan and configure security for a Cognitive Services solution –> 3 lectures • 13min.
  • Plan and implement Cognitive Services containers –> 1 lecture • 5min.
  • Implement Computer Vision Solutions –> 8 lectures • 30min.
  • Computer Vision Text and Form Detection –> 4 lectures • 10min.
  • Extract Facial Information from Images –> 4 lectures • 30min.
  • Image Classification with Custom Vision –> 3 lectures • 16min.
  • Object Detection with Custom Vision –> 3 lectures • 13min.
  • Analyze video by using Video Indexer –> 2 lectures • 9min.
  • Implement Natural Language Processing Solutions –> 6 lectures • 20min.
  • Manage speech by using the Speech service –> 2 lectures • 11min.
  • Translate language –> 3 lectures • 11min.
  • LUIS – Language Understanding Service –> 4 lectures • 27min.
  • Implement Knowledge Mining Solutions –> 2 lectures • 9min.
  • Implement Conversational AI Solutions –> 7 lectures • 31min.
  • Create a bot by using the Bot Framework SDK –> 7 lectures • 39min.
  • Create a bot by using the Bot Framework Composer –> 5 lectures • 18min.
  • Wrap-Up –> 2 lectures • 2min.

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Covers the requirements of the brand new AI-102 Exam, Designing and Implementing a Microsoft Azure AI Solution.

Course updated continuously since launch, adding new quizzes and resources.

1 hour of additional lessons were added to the course in July 2021.

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.

This exam measures your ability to accomplish the following technical tasks: plan and manage an Azure Cognitive Services solution; implement Computer Vision solutions; implement natural language processing solutions; implement knowledge mining solutions; and implement conversational AI solutions.


  • Plan and manage an Azure Cognitive Services solution (15-20%)
  • Implement Computer Vision solutions (20-25%)
  • Implement natural language processing solutions (20-25%)
  • Implement knowledge mining solutions (15-20%)
  • Implement conversational AI solutions (15-20%)

Taught by Scott Duffy, the number one instructor of Microsoft Azure on Udemy.


Microsoft, Windows, and Microsoft Azure are either registered trademarks or trademarks of Microsoft Corporation in the United States and/or other countries. This course is not certified, accredited, affiliated with, nor endorsed by Microsoft Corporation.


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