Project Name

Build Your Personal AI Prompt Engineering Toolkit

Project Scenario

You are an AI Prompt Engineer helping a business or professional improve productivity using ChatGPT.

Your goal is to create a structured prompt library and AI workflow that can automate common tasks such as:

Content creation
Research
Marketing copywriting
Data analysis
Idea generation

You will apply the prompt engineering frameworks and techniques taught in this course.

Project Objective

By completing this project, students will:

Practice prompt engineering techniques
Learn how LLMs interpret prompts
Create reusable prompt templates
Build a personal AI productivity system

Step-by-Step Project Instructions Step 1 — Choose a Use Case

Select a domain where ChatGPT can help.

Examples:

Digital marketing
Content creation
Business analysis
Customer support
Software development
Education
Personal productivity

Deliverable:

Write a short description (100–150 words) explaining:

The domain you chose
The problem AI will help solve

Step 2 — Create a Root Prompt

Using the Root Prompt concept, design a prompt that sets the AI’s role.

Example structure:

Define the role
Define the goal
Define output format

Example:

"Act as an expert digital marketing strategist helping small businesses create marketing campaigns."

Deliverable:

Submit 1 Root Prompt

Step 3 — Apply Persona Prompting

Create a prompt using the Persona Pattern.

Example:

AI as a teacher
AI as a marketer
AI as a consultant
AI as a software engineer

Deliverable:

Create 3 persona prompts

Step 4 — Use Prompt Priming

Improve one of your prompts by adding:

Context
Instructions
Constraints

Deliverable:

Submit:

Original prompt
Improved prompt using priming

Step 5 — Apply Few-Shot Prompting

Create a prompt with example inputs and outputs.

Example:

Input → Blog title
Output → SEO optimized title

Deliverable:

Create 1 Few-Shot Prompt

Step 6 — Use Chain-of-Thought Prompting

Create a prompt that asks ChatGPT to think step-by-step.

Example tasks:

Problem solving
Marketing strategy
Research analysis

Deliverable:

Submit 1 Chain-of-Thought prompt

Step 7 — Use Tabular Prompting

Create a prompt that generates structured output in a table.

Example tasks:

Content calendar
Competitor analysis
Product comparison
Keyword research

Deliverable:

Create 1 table-based prompt

Step 8 — Use Creative Prompting Techniques

Apply at least two creative prompting techniques:

Examples:

Perspective prompting
Comparative prompting
Reverse prompting
Constructive critic prompting

Deliverable:

Create 2 creative prompts

Step 9 — Use Prompt Pattern Frameworks

Create prompts using at least two prompt patterns:

Examples:

Audience Persona Pattern
Question Refinement Pattern
Cognitive Verifier Pattern
Flipped Interaction Pattern

Deliverable:

Create 2 pattern-based prompts

Step 10 — Build Your Prompt Library

Combine all prompts into a Prompt Library Document.

Structure:

Root Prompt
Persona Prompts
Few-Shot Prompt
Chain-of-Thought Prompt
Tabular Prompt
Creative Prompts
Pattern-Based Prompts

Deliverable:

A Prompt Library containing at least 10 reusable prompts

Final Deliverable

Students submit a Prompt Engineering Toolkit containing:

Use case description
Root prompt
Persona prompts
Few-shot prompt
Chain-of-thought prompt
Tabular prompt
Creative prompts
Prompt pattern examples

Total prompts: 10+ prompts

What Students Will Learn

By completing this project, students will learn to:

Design effective prompts for ChatGPT
Apply advanced prompt engineering techniques
Understand LLM behavior
Create reusable AI prompt systems
Improve AI output quality

Abhishek Sahu

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