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Azure AI-100 Exam Preparation

Course

Intro Video

Photo of Dan Sasse

Dan Sasse

Azure Training Architect II

Length

02:41:21

Difficulty

Advanced

Videos

14

Quizzes/Exams

1

Course Details

This course is a summary of the concepts covered in the subsequent four courses aimed at preparing an Azure Professional for the AI-100 Certification Exam.

This course servces as a cursory review of those four courses, and includes a study guide that can be downloaded and printed for markup as well as a practice exam.

Syllabus

Course Introduction

Introduction

About the Training Architect

00:02:03

Lesson Description:

Meet the Training Architect, Dan Sasse: https://www.linkedin.com/in/danielsasse/

Course Introduction

00:02:21

Lesson Description:

In our fifth and final course segment, we review all of the individual study suggestion points Microsoft has provided for the AI-100 Certification exam. This video serves as a review of this segment and also touches on the dynamic nature of our certification content.

AI-100: Designing and Implementing an Azure AI Solution

Azure AI Solution Requirements

Recommend Cognitive Services APIs to Meet Business Requirements

00:03:43

Lesson Description:

This video summarizes the first subsection of the Microsoft study outline: recommend Cognitive Services APIs to meet business requirements.

Map Security Requirements to Tools, Technologies, and Processes

00:02:52

Lesson Description:

This is a summary of the second subsection of the Microsoft study outline: map security requirements to tools, technologies, and processes.

Select the Software, Services, and Storage Required to Support a Solution

00:03:19

Lesson Description:

This is a summary of the third subsection of the Microsoft study outline: select the software, services, and storage required to support a solution.

Azure AI Components and Solutions

Design Solutions that Include One or More Pipelines

00:02:34

Lesson Description:

This is a summary of the fourth subsection of the Microsoft study outline: design solutions that include one or more pipelines.

Design Solutions that Use Cognitive Services

00:01:10

Lesson Description:

This is a summary of the fifth subsection of the Microsoft study outline: design solutions that use cognitive services.

Design Solutions that Implement the Bot Framework

00:02:33

Lesson Description:

This is a summary of the sixth subsection of the Microsoft study outline: design solutions that implement the bot framework.

Design the Compute Infrastructure to Support a Solution

00:02:42

Lesson Description:

This is a summary of the seventh subsection of the Microsoft study outline: design the compute infrastructure to support a solution.

Azure AI Workflow and Pipelines

Design for Data Governance, Compliance, Integrity, and Security

00:03:49

Lesson Description:

This is a summary of the eighth subsection of the Microsoft study outline: design for data governance, compliance, integrity, and security.

Implement an AI Workflow

00:04:50

Lesson Description:

This is a summary of the ninth subsection of the Microsoft study outline: implement an AI workflow.

Azure AI Implementation and Monitoring

Integrate AI Services with Solution Components

00:03:15

Lesson Description:

This is a summary of the tenth subsection of the Microsoft study outline: integrate AI services with solution components.

Monitor and Evaluate the AI Environment

00:04:33

Lesson Description:

This is a summary of the eleventh subsection of the Microsoft study outline: monitor and evaluate the AI environment.

Course Introduction

Practice Exam

Azure AI-100 Practice Exam

02:00:00

Final Steps

How to Prepare for the Exam

00:02:52

Lesson Description:

Ready to take the AI-100 Exam for the certification? Here are a few final suggestions on how to fill up your knowledge to be ready for success. Good luck, and let us know how you did!

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