Loading...

Course Description

AI-infused applications are crucial to improving efficiency, accuracy, and personalization.

Learn how to build AI infused applications that leverage Azure AI Foundry and other Azure AI services. Topics in this course include developing generative AI apps, building AI agents, and solutions that implement computer vision and information extraction. You will build on your existing software development skills, including experience of programming with Python, and familiarity with REST and JSON.

You will have an opportunity to complete a practical project, and apply various skills and techniques that you have learned.

Note: We will cover the Python demo version in class, but students can still work on Python or C# implementations during lab sessions or project work.

This course covers the objectives for Microsoft Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution.

The University of Calgary is Microsoft Education Global Training Partner.

Course Details

Learning Outcomes

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

  • Define and describe key concepts of Azure AI services and their role in AI-infused applications. 
  • Explain and compare approaches for planning and managing Azure AI solutions. 
  • Apply Azure AI tools to implement generative AI solutions for text and image generation. 
  • Develop and configure agentic solutions that reason, act, and interact with users or systems. 
  • Analyze and design computer vision workflows for image classification, object detection, and interpretation.
  • Construct and integrate natural language processing solutions for conversational AI and text analytics. 
  • Evaluate and optimize knowledge mining and information extraction solutions for structured and unstructured data. 
  • Create end-to-end AI-infused applications that combine multiple Azure AI services to meet business requirements. 

Topics

  • Develop generating AI apps in Azure
  • Develop AI agents on Azure
  • Develop natural language solutions in Azure
  • Develop computer vision solutions in Azure
  • Develop AI information extraction solutions in Azure

Notes

This course includes hands-on activities to reinforce the concepts taught and provide a practical learning experience.

Lab access will be provided at no additional cost.

Prerequisites

No mandatory prerequisites.

Self-assessment for enrolment:

A minimum of 6 months relevant working experience and knowledge in:

  • Application/software development
  • Python or C# programming language
  • REST-based APIs

OR

Recommended prerequisites:

  • ICT 779 Python Foundations or ICT 710 Computer Programming Level 1

Applies Towards the Following Program(s)

Loading...

Enrol Now - Select a section to enrol in

Type
Online Synchronous
Days
W
Time
6:00PM to 9:00PM
Dates
Feb 18, 2026 to Mar 18, 2026
Type
Online Asynchronous
Dates
Feb 18, 2026 to Apr 23, 2026
Schedule and Location
Hours
45.0
Delivery Options
Course Fees
Flat Fee non-credit $799.00
Instructor(s)
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 such as Microsoft Edge Microsoft Azure Lab Access (will be provided at no additional cost)

Section Notes

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

Students will require access to a computer with the required software, 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 or Zoom web conferencing software. The instructor will post the 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. Students registered 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.

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.

 

Required fields are indicated by .