Module 1: Introduction to Prompt Engineering
Welcome to your first step into the world of prompt engineering! This module will lay the foundation for everything you'll learn in this course.
π― Learning Objectivesβ
By the end of this module, you will be able to:
- Define prompt engineering and explain its importance in the AI era
- Identify career opportunities in the prompt engineering field
- Explain why prompt engineering matters for AI output quality
- Describe how large language models work at a high level
- Compare different AI models and their capabilities
π Chapters in This Moduleβ
Chapter 1: What is Prompt Engineering?β
Explore the definition, history, and growing importance of prompt engineering as a skill and profession.
Chapter 2: Why Prompt Engineering Mattersβ
Understand the impact of good prompts on AI output quality, cost efficiency, and business value.
Chapter 3: Overview of AI Language Modelsβ
Get introduced to major AI models like GPT, Claude, and Llama, and understand their capabilities.
Quiz: Module 1β
Test your understanding with 30 multiple-choice questions covering all chapters.
β±οΈ Estimated Timeβ
- Reading: 2-3 hours
- Quiz: 30-45 minutes
- Total: 3-4 hours
π Key Concepts Previewβ
| Concept | Description |
|---|---|
| Prompt | An input or instruction given to an AI model |
| LLM | Large Language Model - AI trained on vast text data |
| Token | Basic unit of text that AI models process |
| Context Window | Maximum amount of text an AI can consider |
| Fine-tuning | Additional training on specific data |
Getting Started
Start with Chapter 1 to understand what prompt engineering is and why it's becoming one of the most valuable skills in the AI era!
Ready to begin? Start Chapter 1 β