Continuing Education

CCTB351 - ML Foundations 1

Course Code

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Course Overview

This workshop introduces the foundational concepts of artificial intelligence (AI) and machine learning (ML). As AI adoption grows across industries, it’s essential for leaders to recognize how ML fits into strategic decision-making. Explore how to define ML problems, navigate the ML process lifecycle, and drive adoption within your organization. Examine ethical and social considerations that influence implementation. With the skills gained in this course, you will be able to initiate AI conversations and guide successful ML integration in your workplace. Please note that this course is offered by NAIT in partnership with the Alberta Machine Intelligence Institute. Accordingly, this outline originates from (was created by) the Alberta Machine Intelligence Institute. If you wish to read the Alberta Machine Intelligence Institute’s course outline, please follow this link: https://www.amii.ca/

Upcoming Offerings

This course is part of these programs or course groups:

Unlocking the Power of AI: Practical Insights


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Delivery Methods

  • Face to Face: Where: In-person meetings. When: Course is scheduled at a specific time for students to attend. Face-to-face instruction at all class meetings. Location may be on campus or at a worksite.
  • Blended: Where: Mixture of in-person & online components. When: Course is scheduled at a specific time for students to attend. Combination of face-to-face and online components at specific times. Some online components may be accessed online anytime.
  • Hyflex: Where: Choice to attend in-person or online meetings. When: Course is scheduled at a specific time for students to attend. For each class, students choose to attend in-person with the instructor or online at a specific time.
  • Remote Live Delivery: Where: Online with instructor. When: Course is scheduled at a specific time for students to attend. Instruction is delivered at set times online. Students do not come to campus.
  • Remote On-Demand Delivery: Where: Online anytime. When: No set class meetings. Coursework is accessed on-demand and online. While there are no set class meetings, there may be set due dates and deadlines for some activities. Students may interact with peers through virtual tools.
  • Remote Independent: Where: Online anytime. When: No set class meetings. Coursework is accessed on-demand and online, with no instructor support. While students choose when to do coursework, there may be set due dates and deadlines. 
  • Work Placement: Where: In-person meetings. When: Work is scheduled at a specific time for students to attend. Onsite work integrated learning. Location at a worksite.
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