Course Description

Microsoft Azure AI Fundamentals

Learn about the fundamental concepts of artificial intelligence (AI) and the services in Microsoft Azure to build AI solutions. 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. 

This course covers the objectives for Microsoft Exam AI-900: Microsoft Azure AI Fundamentals. This exam is required to fulfil the requirements of the Microsoft Certified: Azure AI Fundamentals professional certification. Each learner enrolled in this course will be eligible for one attempt to write the Microsoft Azure AI Fundamentals Certification Exam (AI-900).

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 conversational AI workloads on Azure


Module 1: Introduction to AI

  • Common uses of artificial intelligence (AI)
  • Types of workload associated with AI
  • Considerations and principles for responsible AI development

Module 2: Machine Learning

  • Fundamental machine learning concepts
  • How to use Azure Machine Learning to create and publish machine learning models

Module 3: Computer Vision

  • Computer vision concept
  • Computer vision techniques and services

Module 4: Natural Language Processing

  • Scenarios for AI solutions that can process written and spoken language
  • Solutions that analyze text, recognize and synthesize speech, translate between languages, and interpret commands.

Module 5: Conversational AI

  • Basic principles for working with bots
  • Creation of a bot that can respond intelligently to user questions

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 role-based courses offered like ICT 912 Designing and Implementing a Microsoft Azure AI Solution and ICT 915 Designing and Implementing a Data Science Solution on Azure. It designed for those who wish to pursue future careers like:

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


Software Requirements

This course includes extensive hands-on activities designed to help you learn by working with Azure. To complete the labs in this course, you will need:

  • A modern web browser - for example, Microsoft Edge
  • Microsoft Azure Pass for Lab (will be provided at no additional cost)
Enrol Now - Select a section to enrol in
Online Synchronous
8:30AM to 5:00PM
Jan 15, 2022 to Jan 22, 2022
Schedule and Location
Delivery Options
Course Fees
flat fee non-credit $475.00
Required Software
This course includes extensive hands-on activities designed to help you learn by working with Azure. To complete the labs in this course, you will need: A modern web browser - for example, Microsoft Edge A Microsoft Azure subscription Microsoft Teams
Section Notes

Classes are held online in real time (Mountain Time) at the specified time and dates. You are eligible for 1 attempt for Microsoft AI-900 certification exam included in this course.

You will require access to a computer with an Internet connection, a headset with speakers and microphone, webcam, and a monitor large enough to display multiple applications (or the use of two monitors).

This course uses Desire2Learn (D2L), an online learning management system, and Microsoft Teams. The instructor will post your course outline and other materials in D2L. For more information, please visit our Online Learning Resources.

Unless notified, all online courses are available at 9 am MT the day before the start date. 

For the best experience, your computer and internet connection should meet certain requirements. See the recommended requirements.

Students who do not formally withdraw from a course are considered registered in the course, even if they are no longer attending classes. See the refund policy

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