Continuing Education

CCTM351 - IBM AI for Beginner Practitioners

Course Code

A unique identifier used at NAIT for this specific course.

Campus

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Course Overview

This course prepares learners to develop, build, deploy, and test artificial intelligence components using cloud platforms and provide them as SaaS (Software as a Service) solutions. It is intended for adults of all ages, with an active interest in acquiring entry-level skills needed to apply for jobs in the field of AI.

Topics Covered
• Understanding the evolution of Artificial Intelligence (AI)
• Exploring AI industry’s use cases
• Exploring AI types and branches
• Understanding Machine Learning (ML) techniques and algorithms
• Exploring systems that understand language
• Exploring systems that understand vision

Modules
1. Artificial Intelligence Foundations
2. Machine Learning Foundations
3. Natural Language AI Foundations
4. Vision AI Foundations

Please note that this course is offered by NAIT in partnership with IBM. Accordingly, this outline originates from (was created by) IBM. If you wish to read IBM’s course outline, please follow this link: https://educationservices.bowriversolutions.com/ai-for-beginner-practitioners/

View Course Outline

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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