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AI-102 Exam Preparation: Designing and Implementing a Microsoft Azure AI Solution

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Training content

12
4
6
1
COURSE
Beginner
Duration: 50 minutes and 50 seconds
Overview of Azure Services
This lesson gives an overview of the services available on Azure and shows how to create virtual machines and web apps using the Azure CLI and Azure Portal.
EXAM
Duration: Up to 30 minutes
Knowledge Check: Overview of Azure Services
Knowledge Check: Overview of Azure Services
COURSE
Beginner
Duration: 11 minutes and 42 seconds
Designing Azure AI Vision Solutions
In this lesson, you will use the Vision Studio to explore the capabilities of the Azure AI Vision service.
COURSE
Beginner
Duration: 22 minutes and 46 seconds
Designing Azure AI Language Solutions
In this lesson, you will use the Language Studio to explore the capabilities of the Azure AI Language service.
COURSE
Beginner
Duration: 10 minutes and 35 seconds
Designing Azure AI Speech Solutions
In this lesson, you will use the Speech Studio to explore the capabilities of the Azure AI Speech service.
COURSE
Intermediate
Duration: 15 minutes and 12 seconds
Analyzing Text by Using the Azure Text Analytics Service
This lesson covers how to use the text analytics features in Azure to detect language, as well as how to retrieve and process key phrases, entities, and sentiment from a text.
HANDS-ON LAB
Beginner
Duration: Up to 1 hour
Using Text Analytics in the Azure AI Services API
Use the AI Services API in the Azure AI suite to perform text analytics operations by requesting the API services via an Azure Function App.
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This course is designed to help you prepare for the AI-102 Designing and Implementing a Microsoft Azure AI Solution exam. Even if you don't plan to take the exam, these courses and hands-on labs will help you get started on your way to becoming an Azure AI engineer.

This exam is part of Microsoft’s role-based certification program. Candidates who pass the AI-102 exam will earn the Microsoft Certified: Azure AI Engineer Associate certification.

The AI-102 exam tests your knowledge of five subject areas: planning and managing an Azure AI solution, implementing image and video processing solutions, implementing natural language processing solutions, implementing knowledge mining solutions, and implementing conversational AI solutions.

Learning Objectives

  • Plan and manage an Azure AI solution
  • Implement image and video processing solutions
  • Implement natural language processing solutions
  • Implement knowledge mining solutions
  • Implement conversational AI solutions

Intended Audience

  • Software developers who want to build artificial intelligence solutions on Azure
  • People preparing for Microsoft’s AI-102 exam

Prerequisites

  • General knowledge of IT architecture
  • Software development experience, especially using REST APIs
Your certificate for this learning path

About the Author

Avatar
Guy Hummel, opens in a new tab
Azure and Google Cloud Content Lead
Students
238,413
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Learning paths
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Guy launched his first training website in 1995 and he's been helping people learn IT technologies ever since. He has been a sysadmin, instructor, sales engineer, IT manager, and entrepreneur. In his most recent venture, he founded and led a cloud-based training infrastructure company that provided virtual labs for some of the largest software vendors in the world. Guy’s passion is making complex technology easy to understand. His activities outside of work have included riding an elephant and skydiving (although not at the same time).

Covered Topics

Web
Machine Learning
Development
Databases
Artificial Intelligence
Microsoft Azure
Databases for Azure
Development for Azure
Artificial Intelligence for Azure
Azure Cognitive Search
Azure AI Services
Azure Custom Vision Service
Azure Bot Service
Azure QnA Maker API