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) 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) 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

Topics

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: Decision Support

Anomaly Detector

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.