Course Description

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

Learn how to build AI infused applications that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. Students will build on your existing software development skills, including experience of programming with Python (or C#), 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.

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:

  • Describe considerations for AI-enabled application development
  • Create, configure, deploy, and secure Azure Cognitive Services
  • Develop applications that analyze text
  • Develop speech-enabled applications
  • Create applications with natural language understanding capabilities
  • Create QnA applications
  • Create conversational solutions with bots
  • Use computer vision services to analyze images and videos
  • Create custom computer vision models
  • Develop applications that detect, analyze, and recognize faces
  • Develop applications that read and process text in images and documents
  • Create intelligent search solutions for knowledge mining
  • Implement an industry-relevant case study project 


  • Introduction to AI on Azure
  • Developing AI Apps with Cognitive Services
  • Getting Started with Natural Language Processing
  • Build Speech-Enabled Applications
  • Creating Language Understanding Solutions with Azure Cognitive Services
  • Building a QnA Solution
  • Conversational AI and the Azure Bot Service
  • Getting Started with Computer Vision
  • Developing Custom Vision Solutions
  • Detecting, Analyzing, and Recognizing Faces
  • Reading Text in Images and Documents
  • Creating a Knowledge Mining Solution


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

Lab access, and Azure Student Student Pass will be provided at no additional cost.


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


Recommended prerequisites:

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

Applies Towards the Following Program(s)

Enrol Now - Select a section to enrol in
Online Synchronous
6:00PM to 9:00PM
Sep 04, 2024 to Oct 02, 2024
Online Synchronous
8:00AM to 4:00PM
Sep 07, 2024 to Oct 05, 2024
Schedule and Location
Delivery Options
Course Fees
Flat Fee non-credit $1,399.00
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 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.

No class on Sep 28. 

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