Continuing Education

CCTB399 - AI Strategy and Management

Course Code

A unique identifier used at NAIT for this specific course.

Campus

The location where your NAIT courses will be held.

Course Overview

Artificial intelligence (AI) is transforming business; don’t get left behind! The demand for AI and machine learning (ML) expertise is growing across all industries and now is the best time to obtain the skills in AI to help your organization to thrive.

With the knowledge and skills you develop in this course, you will be able to define and manage AI and machine learning projects that support your organization’s business priorities. At the end of this course you will be able to:

  • Conduct informed discussions with technical teams about the data needed for ML projects, create informed approaches to solving the problem, and evaluate the results.

  • Draft AI adoption strategies for your organization, identify and prioritize ML projects, assemble teams, and execute related business tactics.

  • For your final capstone project, you will work in a group to complete a Machine Learning Project Charter for a specific ML project and pitch your project to a panel of ML and business experts.

    Secure your future with the knowledge, tools, and confidence to launch AI projects and manage a technical team.

Upcoming Offerings

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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