AI-100 Exam Preparation: Designing and Implementing an Azure AI Solution

OverviewStepsAuthor
DifficultyIntermediate
AVG Duration6h
Students65
Content
Course Created with Sketch. 6 1 Labs Created with Sketch. 3

Description

Overview

This learning path is designed to help you prepare for the AI-100 Designing and Implementing an 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-100 exam will earn the Microsoft Certified: Azure AI Engineer Associate certification.

The AI-100 exam tests your knowledge of three subject areas: analyzing solution requirements, designing AI solutions, and implementing and monitoring AI solutions. This learning path starts by giving you an overview of Azure services. Once you have that foundation, we’ll dig into how to use the various Cognitive Services. They’re divided into five categories: decision, language, speech, vision, and web search. Next, we’ll show you how to build a chatbot using the Azure Bot Service. Finally, we’ll show you how to tie all of the components together into pipelines and data flows using services like Azure Data Factory.

Learning Objectives

  • Analyze solution requirements
  • Design AI solutions
  • Implement and monitor AI solutions

Intended Audience

  • Software developers who want to build artificial intelligence solutions on Azure
  • People preparing for Microsoft’s AI-100 exam

Prerequisites

  • General knowledge of IT architecture
  • Software development experience

Certificate

Your certificate for this learning path
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Learning Path Steps

1 courses

This introduction to the learning path gives an overview of the requirements for the Microsoft AI-100 exam and how they will be covered.

2 courses

In this course, you'll learn the breadth of available Azure services and see how they can create more powerful business solutions.

3 courses

This course covers what Azure Cognitive Services are and how to use the various solutions they provide, including Vision, Speech, Language, Decision, and Web Search.

4 labs

Use the Cognitive Services API in the Azure AI suite to perform text analytics operations by requesting the API services via an Azure Function App.

5 courses

In this course, you will learn how to create a chatbot to answer support questions about specific products and services.

6 labs

Develop an Azure bot locally and then use the Azure CLI and Azure Portal to deploy it to Azure.

7 labs

Learn to deploy powerful bots in Azure by integrating Azure Bot Services with Azure Cognitive Services API to create and serve intelligent bots.

8 courses

In this course, you'll learn the basic principles of designing data flows using the Azure platform.

9 courses

This course provides a list of resources for some additional topics you should make sure you understand before taking the AI-100 exam.

10

Prove your practical knowledge of bots and your proficiency with the Microsoft Azure portal and CLI by creating a bot and publishing to Azure Bot Service

About the Author

Students35698
Courses55
Learning paths43

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).