ICT 901 - Microsoft Azure AI Fundamentals

UCalgary Continuing Education

Course Description

Please note...

Tuition for this course is funded by Microsoft Canada. There is no final evaluation in this version of the course, and online synchronous sessions are held as workshops with many students.

The paid version of the course includes a final evaluation and in-person sessions are in smaller groups.

Please enrol in only one course section.

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.

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.