Enrolment options

Course Introduction

This course trains students to become the best communicators with AI by teaching them the art and science of Prompt Engineering. Not requiring coding, it focuses on leveraging Large Language Models (LLMs) to achieve specific ends, increase productivity, and drive creative problem-solving.

Crucially, every course module is enhanced with hands-on, collaborative Group Activity Labs designed to provide practical experience, encourage peer-to-peer learning, and allow students to analyze and refine prompt outputs in a team setting.


Course Aims

This course is designed to help students:

  • Master Effective Communication: Structure prompts to elicit precise and high-quality outputs from LLMs.

  • Understand and Apply Prompt Patterns: Apply Role-Prompting and Chain-of-Thought techniques to perform complex tasks in a practical, group lab environment.

  • Debug and Secure Prompts: Learn to troubleshoot poor outputs and understand ethical/security implications (e.g., Prompt Injection).

  • Boost Productivity: Apply prompt engineering across academic, creative, and professional disciplines.


 Course Modules 

The course is divided into 14 key modules, each including a dedicated Group Activity Lab for practical application:

  1. Introduction to LLMs and Prompt Engineering

  2. What is Prompt Engineering? (Core components)

  3. Deepening Interaction with Prompts - Advanced Communication

  4. Learning from Prompt Mistakes - HW1 (Iterative refinement and critique)

  5. Mastering Prompts: Prompt Patterns I (Structured frameworks)

  6. Homework 2 & Final Project: Mastering Prompts - Prompt Patterns II (Advanced patterns like CoT)

  7. Prompt Engineering for Academic and Creative Writing

  8. Midterm Exam and Practical Assessment

  9. Debugging Prompts: Why Didn't It Work? (Collaborative troubleshooting)

  10. Model Comparison of LLMs: From Prompts to Insights - HW3 (Adapting prompts across models)

  11. Ethical Considerations in Prompt Engineering & Prompt Engineering Across Disciplines

  12. Prompt Engineering Across Disciplines & Next Frontiers in Prompt Engineering 

  13.  Understanding Prompt Security (Prompt Injection and defense)

  14. Final exam & Project Presentations and Evaluation

Self enrolment (Student)
Self enrolment (Student)