AI-102 Microsoft Azure AI Solution Complete Exam Prep 2024
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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.
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Plan and manage an Azure AI solution (15–20%)
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Implement content moderation solutions (10–15%)
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Implement computer vision solutions (15–20%)
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Implement natural language processing solutions (30–35%)
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Implement knowledge mining and document intelligence solutions (10–15%)
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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.
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11Overview of Azure AI Services (formerly Cognitive Services)
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12Azure AI Vision Services (formerly Cognitive Services for Vision)
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13Azure AI Language Services (formerly Cognitive Services for Language)
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14Azure AI Decision Services (formerly Cognitive Services for Decision)
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15Azure AI Speech Services (formerly Cognitive Services for Speech)
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16Cognitive Services API Overview
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17Create a Computer Vision Service
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18Cognitive Service Endpoint and Keys
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19Create Alerts for Cognitive Services
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20Monitor Metrics for Cognitive Services
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21Configure Diagnostics for Cognitive Services
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22Create a Multi-Service Cognitive Services Resource
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23Manage Costs for Azure AI Services
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30Create a solution that uses Anomaly Detector
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31Anomaly Detector Demo Website
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32Create a solution that uses Azure Content Moderator
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33Create a solution that uses Personalizer
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34Azure Personalizer Demo
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35Create a solution that uses Azure Metrics Advisor
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36Create a solution that uses Azure Immersive Reader
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61Overview of Natural Language Processing Services
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62Extract Key Phrases using Cognitive Services for Language (was Text Analytics)
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63Extract Entity Information using Cognitive Services for Language (was Text Analy
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64Extract Sentiment using Cognitive Services for Language (was Text Analytics)
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65Detect Language using Cognitive Services for Language (was Text Analytics)
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66Language Services Entity Recognition using Visual Studio 2019 and C#