Continuing Education

CCTB253 - Fundamentals of Prompt Engineering

Prerequisite:
Pre-Requisites: CCTB251 and CCTB252

Course Code

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Campus

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Course Overview

Dive into the innovative world of AI prompt engineering with this specialized course. You'll explore the art of creating effective prompts that enhance interaction with Large Language Models (LLMs), a skill increasingly sought after in today's tech-driven marketplace. Discover how to build a chatbot's memory and explore the realm of vector search strategies and vector databases. This course is your guide to the subtleties of prompt engineering, empowering you to generate meaningful responses from LLM applications and tackle the challenges of prompt hacking. Equipped with these skills, you'll be adept at crafting compelling prompts for LLMs and analyzing vector search results, preparing you for work in the AI and machine learning industry.

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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