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.