AI Prompt Engineering Mastery

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

Quick Start Course Overview API Reference

Welcome

Learn to speak AI’s language. Turn vague requests into precise instructions that generate professional-quality output every time.

Documentation

Quick Start Guide - Get started in minutes
API Reference - Complete tool documentation
Troubleshooting - Common issues and solutions

Course Materials

Course Overview - Full curriculum
Course Roadmap - Learning path
Foundations Lab - First interactive lab
Start Here - Getting started guide

Tools & Resources

Interactive Dashboard - Run with streamlit run streamlit_app.py
Prompt Validator - Score prompts 0-100%
Production Validator - Production testing
A/B Testing - Compare prompt versions
Progress Tracker - Track learning

Community

Contributing Guide - How to contribute
GitHub Repository - Source code
Improvements Summary - Recent enhancements

Key Features

Prompt Validator

Score prompts 0-100% using multi-factor weighted scoring:

Clarity (25%)
Specificity (25%)
Context (20%)
Structure (15%)
Examples (15%)

Production Validator

Test prompts for production deployment:

Consistency testing
Robustness with edge cases
Performance monitoring
Automated recommendations

Model-Agnostic LLM Support

Works with multiple providers:

OpenAI (GPT-3.5, GPT-4)
Anthropic (Claude 3)
Ollama (local models)

Interactive Dashboard

Use the Streamlit dashboard for:

Real-time prompt validation
LLM playground
A/B testing interface
Progress tracking

Getting Started

Clone the repository:

git clone https://github.com/ElaMCB/AI-Prompt-Engineering.git
cd AI-Prompt-Engineering

Install dependencies:
```
pip install -r requirements.txt
```

Set up API keys:

export OPENAI_API_KEY="sk-your-key-here"
# OR
export ANTHROPIC_API_KEY="sk-ant-your-key-here"

Run the dashboard:
```
streamlit run streamlit_app.py
```
Or start with the Quick Start Guide: → Quick Start Guide

What You’ll Learn

Level	Focus	Time	Outcome
Foundation Labs	Master core prompt engineering	2-3 weeks	Write prompts that get professional results
Engineering Playground	Build advanced AI systems	2-3 weeks	Create agents and automated workflows
Professional Projects	Ship real applications	2-3 weeks	Portfolio projects for career advancement

Built-in Tools

Tool	Purpose	Benefit
Prompt Validator	Scores prompts 0-100% using best practices	Get immediate feedback on prompt quality
Progress Tracker	Tracks mastery across 17 core competencies	See exactly what you’ve learned and what’s next
Version Control	Git-like system for prompt management	Save, compare, and reuse your best prompts
A/B Testing	Compare prompt performance scientifically	Optimize prompts with data, not guesswork
Production Validator	Test prompts for production deployment	Ensure quality before deployment

Success Stories

“Went from spending 4 hours writing one blog post to generating 10 high-quality articles in 30 minutes. Got promoted within 3 months.”
— Sarah, Marketing Manager

“Built an AI code reviewer that catches bugs I miss. Clients love it. Raised my rates 40%.”
— Mike, Freelance Developer

Documentation Links

For Users

Quick Start Guide - Get started quickly
Course Roadmap - Full learning path
Troubleshooting - Common issues

For Developers

API Reference - Complete API documentation
Contributing Guide - How to contribute
Improvements Summary - Recent changes

License

MIT Licensed • Actively Maintained • Community Contributions Welcome

**Star this repository** to get notified when new labs are released [GitHub Repository](https://github.com/ElaMCB/AI-Prompt-Engineering) • [Issues](https://github.com/ElaMCB/AI-Prompt-Engineering/issues) • [Contributing](/AI-Prompt-Engineering/CONTRIBUTING.md)