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Course Description

Microsoft Azure AI Fundamentals

Learn about the fundamental concepts of artificial intelligence (AI) alongside the comprehensive suite of services in Microsoft Azure to build AI solutions, including the latest Generative AI. Experience a hands-on approach to see AI in action and explore Azure AI services. Microsoft Azure includes a suite of tools that enables learners to ingest data, build machine learning (ML) models, and deploy those models as REST API web services. Azure also includes a number of platform-as-a-service cognitive services that offer learners access to pre-trained ML models. 

Microsoft

Offered in collaboration with Microsoft.

This course covers the objectives for Microsoft Exam AI-900: Microsoft Azure AI Fundamentals. 

Course Details

Learning Outcomes

By completion of this course, successful students will be able to:

  • 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
  • Describe features of generative AI workloads on Azure 

Topics

Module 1: AI Overview

Module 2: Computer Vision

Module 3: Natural Language Processing

Module 4: Document Intelligence and Knowledge Mining

Module 5: Generative AI

Who is this course for?

The Microsoft Azure AI Fundamentals course is for individuals with both technical or non-technical backgrounds, who are interested in learning how to create AI and ML applications using Microsoft Azure. Prior experience in data science and software engineering are not required for this course. Some general programming knowledge or experience would be beneficial.

This course can be used to prepare candidates for other Azure Certification courses like DAT 370 Designing and Implementing a Data Science Solution on Azure and DAT 380 Designing and Implementing a Microsoft Azure AI Solution with Project. It is designed for those who wish to pursue future careers like:

  • Machine Learning / AI Engineer
  • Data Scientist
  • Machine Learning / AI Developer

Notes

This course does not include any assessments. If you wish to follow along with the lab demonstration, you will need to have Azure Subscription.

Prerequisites

There are no prerequisites for this course, however, a basic level of familiarity with computer technology, cloud computing, and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running Python, so knowledge of fundamental programming principles will be helpful.
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Type
Online Synchronous
Days
Sa
Time
8:30AM to 4:30PM
Dates
Jun 21, 2025
Schedule and Location
View Details
Hours
7.0
Delivery Options
Online Synchronous  
Course Fees
flat fee non-credit $0.00
Instructor(s)
Reading List / Textbook
No Textbook Required. 
Section Notes

Classes are held online in real time (Mountain Time) at the specified time and dates.

This course uses:

  • Desire2Learn (D2L), an online learning management system. The instructor will post your course outline and other materials in D2L.
  • Zoom web conferencing software.

For more information, please visit our Online Learning Resources.

Students unfamiliar with online learning are encouraged to take our free Digital Skills for Learning Online course.

Unless otherwise stated, notice of withdrawal or transfer from a course must be received at least seven calendar days prior to the start date of the course.

 

 

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