Practice and reinforce the concepts from Lesson 2
Master sophisticated prompting techniques used by professionals.
Practice Chain-of-Thought for complex problems:
Your Multi-Step Prompt:
Build a movie recommendation system. Let's think step by step:
Step 1: [Define data structure for movies and user preferences]
Step 2: [Create similarity calculation algorithm]
Step 3: [Implement filtering based on user history]
Step 4: [Add collaborative filtering]
Step 5: [Optimize for performance]
Show implementation for each step.
Try It Yourself:
Build a search autocomplete feature:
Step 1: ________________________________
Step 2: ________________________________
Step 3: ________________________________
Step 4: ________________________________
Use personas for specialized output:
Prompt with Different Roles:
Role 1: Security Auditor
"As a security auditor, review this login function for vulnerabilities..."
Role 2: Performance Expert
"As a performance optimization expert, analyze this database query..."
Your Turn - Create Prompts For:
UI/UX Designer reviewing a form:
DevOps engineer reviewing deployment:
Data scientist reviewing an algorithm:
Provide examples to guide output:
Few-Shot Prompt Structure:
Transform this data following these examples:
Input: {name: "John", age: 30}
Output: "John (30 years)"
Input: {name: "Jane", age: 25}
Output: "Jane (25 years)"
Now transform: {name: "Bob", age: 45}
Create Few-Shot Prompts For:
SQL to MongoDB query conversion: Example One: ________________________________ Example 2: ________________________________ Transform: ________________________________
Error message formatting: Example One: ________________________________ Example 2: ________________________________ Transform: ________________________________
Build prompts with conditions:
Template:
Create a function that:
IF user is admin: [show all data]
ELSE IF user is member: [show owned data]
ELSE: [show public data only]
Include proper error handling for each case.
Your Conditional Prompts:
Payment processing with multiple methods:
Responsive design with breakpoints:
Prompts that improve prompts:
Meta-Prompt Example:
"Take this basic prompt: 'create a contact form'
Improve it by adding:
1. Specific field requirements
2. Validation rules
3. Error handling
4. Success feedback
5. Accessibility features
Generate the improved prompt and then the code."
Practice Meta-Prompting:
Improve: "Make a dashboard" Your meta-prompt: ________________________________
Create reusable prompt templates:
Create a [METHOD] endpoint at [PATH] that:
- Accepts: [INPUT_TYPE]
- Validates: [VALIDATIONS]
- Processes: [BUSINESS_LOGIC]
- Returns: [OUTPUT_FORMAT]
- Handles errors: [ERROR_CASES]
- Rate limit: [LIMIT]
Build Templates For:
React Component:
Database Query:
Test Suite:
Start simple, add complexity:
"Create a button" →
"Add hover effect" →
"Add click animation" →
"Add accessibility"
Specify what NOT to do:
"Create a form WITHOUT using any external libraries,
WITHOUT inline styles, WITHOUT global variables"
Ensure consistent output:
"Return EXACTLY this structure:
{
status: 'success' | 'error',
data: any,
timestamp: number
}
Do not add any other fields."
You now have advanced prompt engineering skills that most developers don't even know exist. These patterns will make you incredibly efficient with any AI tool!