Course description
Designed for absolute beginners, this course introduces the foundations of agentic AI, including how agents plan, act, and contribute to everyday workflows. Learn how to map simple workflows by defining inputs, reasoning loops, memory needs, and outputs, while using prompt-based strategies to guide tone, accuracy, and reliability. Students will practice building agents using free or freemium tools, evaluating platforms, configuring settings, and deploying agents without programming knowledge. Develop skills in testing and refining agent behaviour, identifying bias, and implementing safeguards to support ethical and privacy-aware use.
Course details
Credit transfer
Have you taken this course or an equivalent course? Contact the Credit Transfer Office.
Course equivalencies
Registration dates
Not all courses are offered each term.
Spring 2026 registration opens March 2, 2026.Fall 2026 registration opens June 29, 2026.
Delivery options
In person: classes held in person on a campus/site in a classroom/lab/shop/studio for the course duration
Online - Asynchronous: 100% online delivery, no scheduled day or time course requirements with the instructor, assigned due dates
Online - Synchronous: 100% online delivery, scheduled day and time course requirements with the instructor, assigned due dates
Hybrid: any combination of in person, timetabled, on campus, online, and hyflex delivery