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Microsoft - MS Azure AI Fundamentals Training - AI-900

This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. The course is designed as a blended learning experience that combines instructor-led training with online materials on the Microsoft Learn platform (https:// azure.com/learn). The hands-on exercises in the course are based on Learn modules, and students are encouraged to use the content on Learn as reference materials to reinforce what they learn in the class and to explore topics in more depth

Course Overview

Overall Proficiency Level
1 - Basic
Course Catalog Number
AI900
Course Prerequisites

Successful Azure AI Fundamental students start with some basic awareness of computing and internet concepts, and an interest in using Azure AI services

Training Purpose
Functional Development
Skill Development
Specific Audience
All
General Public
Federal Employee
Delivery Method
Classroom
Online, Instructor-Led
Online, Self-Paced
Course Locations

1992 Lewis Turner Blvd
Suite 131
Fort Walton Beach, FL 32547

1700 North Tampa Street
Tampa, FL 33602

1320 E 9th Ave
Suite 100
Tampa, FL 33605

722 E. 9th Court
Panama City, FL 32401

317 S. 6th Street
Las Vegas, NV 89101

445 Dexter Avenue
Suite 4050
Montgomery, AL 36104

5835 Callaghan Road
Suite 105
San Antonio, TX 78225

560 Warner Robins Street
Warner Robins, GA 31098

3165 Washington Road
Suite D
Augusta, GA 30907

164 NW Promontory
Suite 200
Farmington, UT 84025

6950 Columbia Gateway Dr
Suite 450
Columbia, MD 21046

620 Herndon Pkwy
Herndon, VA 20170

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  • Online, Self-Paced

Learning Objectives

In this course, you will:

  • Describe Artificial Intelligence workloads and considerations
  • Describe fundamental principles of machine learning on Azure
  • Describe features of computer vision workloads on Azure
  • Describe features of Natural Language Processing (NLP) workloads on Azure

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Feedback

If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.

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