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Course Description

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. 

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) before the course section end date.

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 designed for those who wish to pursue future careers like:

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

Notes

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 Lab Access (will be provided at no additional cost)

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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Enrol Now - Select a section to enrol in
Type
Online Synchronous
Days
Sa
Time
8:00AM to 4:00PM
Dates
Apr 20, 2024
Type
Online Asynchronous
Dates
Apr 20, 2024 to May 04, 2024
Schedule and Location
Hours
15.0
Delivery Options
Course Fees
flat fee non-credit $0.00
Instructor(s)
Reading List / Textbook
No Textbook Required. 
Section Notes

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

This is an Online Hybrid course with Online Synchronous Sessions held online in real time (Mountain Time) using:

  • Microsoft Teams

To fully participate in the classes, students will need: an internet connection, and a reliable headset with microphone.

Unless notified, all online courses are available at 9 am MT the day before the start date. Students registering on (or after) the start date will receive access within one day of registration.

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

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

Type
Online Synchronous
Days
Sa
Time
8:00AM to 4:00PM
Dates
Apr 27, 2024
Type
Online Asynchronous
Dates
Apr 27, 2024 to May 11, 2024
Schedule and Location
Hours
15.0
Delivery Options
Course Fees
flat fee non-credit $0.00
Instructor(s)
Reading List / Textbook
No Textbook Required. 
Section Notes

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

This is an Online Hybrid course with Online Synchronous Sessions held online in real time (Mountain Time) using:

  • Microsoft Teams

To fully participate in the classes, students will need: an internet connection, and a reliable headset with microphone.

Unless notified, all online courses are available at 9 am MT the day before the start date. Students registering on (or after) the start date will receive access within one day of registration.

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

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

 

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