Course Content
Foundations of AI Prompting
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Lesson 1.1: What is AI Prompting and Why It Matters
Lesson 1.2: Understanding Large Language Models (LLMs)
Lesson 1.3: How AI Interprets Your Instructions
Lesson 1.4: The Evolution of Prompt Engineering
Lesson 1.5: Different AI Models and Their Strengths
Lesson 1.6: Tokens, Context Windows, and Limitations
Lesson 1.7: Input vs Output: Understanding the Relationship
Lesson 1.8: Setting Realistic Expectations
Lesson 1.9: The Prompt Engineer’s Mindset
Lesson 1.10: Your First Effective Prompt (Hands-On Exercise)
Anatomy of Effective Prompts
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Lesson 2.1: The Four Core Components of Great Prompts
Lesson 2.2: Writing Clear and Specific Instructions
Lesson 2.3: The Power of Context Setting
Lesson 2.4: Defining Desired Output Format
Lesson 2.5: Tone, Style, and Voice Control
Lesson 2.6: Length and Scope Parameters
Lesson 2.7: Constraint Setting and Boundaries
Lesson 2.8: The Role of Examples in Prompts
Lesson 2.9: Prompt Structure Templates
Lesson 2.10: Before & After – Transforming Weak Prompts
Start Writing Prompts Like a Pro
Please complete previous Lesson first
Lesson 1.6: Tokens, Context Windows, and Limitations