AI Prompt Engineering Mastery

Transform your AI interactions. Master prompt engineering with professional-grade tools and interactive learning.

View the Project on GitHub ElaMCB/AI-Prompt-Engineering

Foundations Lab: Stop Getting Garbage Outputs

Transform from vague requests to precise instructions that get exactly what you need

``` YOUR FIRST CHALLENGE Fix 3 broken prompts → See immediate improvements → Master the CLEAR framework ``` **Time:** 2-3 hours | **Difficulty:** Beginner | **Tools:** Interactive Jupyter notebook

What You’ll Accomplish

By the end of this lab, you’ll transform from someone who fights with AI to someone who commands it:

Before This Lab

After This Lab


The Challenge: Fix These Broken Prompts

Broken Prompt #1: Content Creation

"Write me a blog post about productivity"

What’s wrong? No audience, no angle, no format, no tone guidance
Result: Generic content that helps nobody

Your mission: Transform this into a prompt that generates professional-quality content worth $200+ in freelance fees.

Broken Prompt #2: Code Help

"Help me with this Python code"

What’s wrong? No code provided, no specific problem, no context
Result: Generic Python tutorial instead of targeted help

Your mission: Create a prompt that gets specific, actionable debugging assistance.

Broken Prompt #3: Business Strategy

"Give me a marketing strategy"  

What’s wrong? No business details, no target market, no constraints
Result: Useless generic advice that applies to everyone

Your mission: Build a prompt that generates a detailed, actionable strategy.


The CLEAR Framework

You’ll learn the systematic approach that professionals use:

Component Purpose Example
Context Set the role and situation “You are a conversion copywriter…”
Length Specify output size “Write 200 words…”
Examples Show desired format “Use the PAS framework…”
Audience Define who it’s for “Target overwhelmed freelancers…”
Requirements List specific needs “Must include call-to-action…”

Real-World Practice Scenarios

📧 Scenario 1: Job Application

Help writing a cover letter for a marketing manager role at a tech startup

📱 Scenario 2: Social Media

Create Instagram captions for a small bakery’s daily posts

Scenario 3: Learning

Get help learning Python for data analysis with no programming background


The $500 Challenge

Your final test: Create a prompt so detailed and specific that the AI output would be worth $500+ in professional consulting fees.

Success criteria:


Built-in Learning Tools

Prompt Validator

Progress Tracker

Version Control


Ready to Start?

### **Launch the Interactive Lab** This is where the real learning happens. The Jupyter notebook contains: - Broken prompts to fix (with immediate feedback) - Interactive exercises with built-in validation - Real-world scenarios to practice - Progress tracking and skill assessment **Prerequisites:** Python 3.8+, basic computer skills **Setup time:** 2 minutes **Learning time:** 2-3 hours
git clone https://github.com/ElaMCB/ai-prompt-engineering-mastery
cd ai-prompt-engineering-mastery
python setup.py  # Verifies everything works
jupyter notebook notebooks/foundations_lab.ipynb

Option 2: Need Help Setting Up?

👉 Follow the detailed setup guide

Option 3: Want to See Examples First?

👉 Check out solutions and examples


What Happens After This Lab?

🎓 Immediate Skills

Next Steps

💼 Career Impact


**Ready to transform your AI interactions?** [**Launch Foundations Lab →**](notebooks/foundations_lab.ipynb) *Your first improved prompt is just 5 minutes away*

**Questions?** Check the [Course Roadmap](/AI-Prompt-Engineering/COURSE_ROADMAP.html) • **Need Help?** See [Setup Guide](/AI-Prompt-Engineering/START_HERE.html) ⭐ **Star this repository** to track your progress and get updates