Udemy

AI-102 Microsoft Azure AI Solution Complete Exam Prep

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  • 42,593 Students
  • Updated 12/2025
4.5
(5,119 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
15 Hour(s) 19 Minute(s)
Language
English
Taught by
Scott Duffy • 1.000.000+ Students, Software Architect.ca
Rating
4.5
(5,119 Ratings)

Course Overview

AI-102 Microsoft Azure AI Solution Complete Exam Prep

NEW 2024 Edition - Learn how to use Azure Cognitive Services to add AI to your own applications

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

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

Course completely re-recorded in APRIL 2024. Up-to-date with the latest exam requirements.

Candidates for Exam AI-102 should have subject-matter expertise in 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# or Python 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 AI solution, Implement content moderation solutions, Implement computer vision solutions, Implement natural language processing solutions, Implement knowledge mining and document intelligence solutions, and Implement generative AI solutions.


  • 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%)

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.


Course Content

  • 10 section(s)
  • 189 lecture(s)
  • Section 1 Welcome to the Course
  • Section 2 Course Resources
  • Section 3 Select the appropriate Azure AI service
  • Section 4 Create and manage an Azure AI service
  • Section 5 Plan and configure security for Azure AI services
  • Section 6 Deploy Azure AI services
  • Section 7 Create solutions to detect anomalies and improve content
  • Section 8 Implement Computer Vision Solutions
  • Section 9 Computer Vision Text and Form Detection
  • Section 10 Extract Facial Information from Images

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 AI Services, beyond the ones you normally use
  • Be up-to-date on the latest updates to this ever-changing platform


Reviews

  • R
    Raashid Merchant
    5.0

    Speed, language, conciseness - Great.

  • D
    Darius Servino Oco
    5.0

    The AI-102 training was very informative and practical. It provided clear basic guidance on designing and implementing Azure AI solutions, including conversational AI, Cognitive Services, and integration best practices.

  • A
    Abdullah Al Hommada
    1.0

    This course contain a lot of legecy, and it is hardly updated.

  • J
    Jitendrakumar Chauhan
    2.5

    Practical implementation and writing code explaining it line by line will be helpful

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