Course Overview
This course introduces students to artificial intelligence and large language models through both theory and hands-on experimentation. Students will explore the complete evolution of AI from early pioneers to modern tools. From leading LLM platforms to niche AI tools, students will understand how models work, learn effective communication through prompt engineering, and how to critically evaluate their outputs. The course balances technical understanding with practical application, examining both the capabilities and limitations of AI while addressing crucial questions around ethics, copyright, and responsible use in creative and professional contexts.
Prerequisite(s)
- No prerequisites are required for this course.
Credits
3.0
Domestic fees
$652.73
International fees are typically 3.4 times the domestic tuition. Exact cost will be calculated upon completion of registration.
Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Trace the historical development of artificial intelligence from foundational concepts to contemporary large language models, identifying key technological breakthroughs and setbacks that shaped the field
- Explain core concepts of how large language models function, including tokens, context windows, training processes, and the role of human feedback
- Apply prompt engineering techniques to effectively communicate with AI tools and achieve desired outcomes across various creative and analytical tasks
- Evaluate AI-generated content critically, recognizing the strengths, limitations, biases, and potential errors in model outputs
- Utilize multiple AI platforms to solve real-world problems and enhance creative workflows
- Analyze ethical considerations in AI deployment, including issues of copyright, attribution, bias, and responsible use in professional practice
- Demonstrate understanding of technical concepts like temperature settings, vectors, and context windows to optimize AI tool performance for specific applications
- Assess the societal implications of AI technologies and articulate informed perspectives on their impact across industries and creative fields
Effective as of Fall 2026
Course Offerings
Fall 2026
Below is one offering of CREA 1000 for the Fall 2026 term.
CRN 52797
Dates
Sep 08 - Nov 24 Loading
- CRN 52797
- $652.73 Domestic fees
Class meeting times
| Dates | Days | Times | Locations |
|---|---|---|---|
| Sep 08 - Nov 24 | Tue | 18:00 - 21:00 | Downtown DTC Rm. 850 |
Duration
12 weeks
Instructor
TBD
Course outline
Course outline TBD — see Learning Outcomes in the interim.
Important information
- This course will be delivered in-class at the Downtown Campus
Confirmation
Required
To proceed with registration and add this course to the cart, please confirm:
Status
Programs and courses are subject to change without notice. Find out more about BCIT course cancellations.