Course description

This course explores the emerging discipline of prompt engineering, which involves crafting effective prompts to interact with AI models such as ChatGPT. Students will learn prompt patterns, context design, response control, and practical applications in areas such as writing, coding, and data analysis.

Learning Objectives:

· Understand how large language models interpret and respond to prompts

· Design prompts for specific outcomes and domains

· Create structured input-output patterns for consistency

· Explore prompt chaining and role-based prompting

· Apply prompt engineering in business, education, and technical domains

Target Audience: Writers, developers, educators, analysts, and anyone using AI language tools

Course Duration: 4 weeks (3–4 hours per week)

Delivery Format: Online with live practice labs and downloadable exercises

Modules/Units:

1. Introduction to Prompt Engineering and LLMs

2. Prompt Patterns and Structure

3. Role-play and Context Techniques

4. Advanced Applications: Code, Content, and Analysis

5. Prompt Evaluation and Refinement

Assessment Methods:

· Practical prompt design assignments

· Case-based exercises

· Final creative or technical prompt project

What will I learn?

• Communicate effectively with AI systems using prompt strategies
• Improve productivity and creativity using LLMs
• Adapt prompts for diverse industries and workflows