Duration: 3-4 hours | Difficulty: Beginner
Module Overview
Discover what prompting is, why it matters, and how it revolutionizes the way we interact with AI. You’ll build a solid foundation by understanding prompt mechanics, exploring basic templates, and learning the core principles that make prompts effective.Learning Objectives
By the end of this module, you will be able to:Define prompting and explain its role in LLM applications
Construct basic prompts using templates and variables
Apply formatting techniques for clarity and consistency
Identify the relationship between prompts and model outputs
Module Lessons
Lesson 1.1: What is Prompting?
Learn the prompt-response paradigm and why prompting matters in AI
Lesson 1.2: Anatomy of a Prompt
Master prompt components, templates, and formatting techniques
Lesson 1.3: In-Context Learning
Explore zero-shot, one-shot, and few-shot learning fundamentals
Lesson 1.4: Core Principles
Apply the four core principles of effective prompting
What You’ll Build
Throughout this module, you’ll work on practical exercises including:- Creating your first effective prompts
- Building reusable prompt templates
- Implementing in-context learning examples
- Designing a complete prompt system for a real-world application
Prerequisites
- Basic familiarity with text-based interfaces
- Curiosity and willingness to experiment
- No prior AI or programming experience required
Ready to Begin?
Start Lesson 1.1: What is Prompting?
Begin your journey into prompt engineering