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Continuing Education

CCTP480 - AI Literacy, LLMs & Agentic Concepts

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Course Overview

Curious about how systems like ChatGPT reason, plan, and generate ideas? Wondering what makes an AI system agentic? This introductory, practical, hands-on course builds the essential literacy needed to understand modern AI and its evolution toward agentic systems. Learners will explore what large language models (LLMs) are, how they are trained, how they interpret prompts, and why they sometimes hallucinate and mirror human tone. Through guided discussions and live vibe-coding demos, students will learn practical prompt-engineering techniques to interact with AI models more effectively and responsibly. The course also introduces the foundational concepts behind Agentic AI — systems that can plan, act, and reflect — and how these differ from traditional automation. Learners will see early examples of Retrieval-Augmented Generation (RAG), an important design pattern that lets agents access trusted external knowledge rather than relying only on internal model memory. This course concludes with an overview of responsible-AI principles and governance frameworks that prepare learners for deeper agent-building work in later courses of the Agentic AI Foundations certificate. Open to both business innovators and technical professionals, this course offering provides an engaging and supportive entry point into the world of agentic AI — making it ideal for anyone curious about how AI works in practice and how it can be applied responsibly. Please note that this course is offered by NAIT in partnership with a third party. Accordingly, this outline originates from a third party.

Upcoming Offerings

This course is part of these programs or course groups:

Agentic AI Foundation


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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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