Prompt Engineering Fundamentals: The Complete Course

Prompt Engineering Fundamentals

Prompt engineering is the skill of communicating effectively with AI. Master it, and you'll get dramatically better results from any AI tool.

What is Prompt Engineering?

Prompt engineering is crafting inputs (prompts) that guide AI models to produce desired outputs. It's part art, part science.

The CRISP Framework

Use this framework for every prompt:

C - Context

Provide background information

You are a senior marketing manager at a B2B SaaS company.

R - Role

Define who the AI should be

Act as an expert copywriter with 10 years of experience.

I - Instructions

Clear, specific directions

Write a landing page headline that emphasizes our unique value proposition.

S - Specifications

Format, length, style requirements

- Maximum 10 words
- Use power words
- Include a number if possible

P - Proof/Examples

Show what you want

Examples of good headlines:
- "10x Your Sales Pipeline in 30 Days"
- "The CRM That Actually Gets Used"

Basic Prompt Patterns

1. The Role Pattern

You are [ROLE] with expertise in [AREA].
Your task is to [TASK].

2. The Step-by-Step Pattern

Let's approach this step by step:
1. First, analyze [X]
2. Then, consider [Y]
3. Finally, recommend [Z]

3. The Format Pattern

Provide your response in the following format:
- Summary: [1-2 sentences]
- Key Points: [bullet list]
- Recommendation: [action item]

4. The Constraint Pattern

Write [CONTENT] with these constraints:
- Length: [X words/sentences]
- Tone: [formal/casual/etc]
- Avoid: [things to exclude]

Advanced Techniques

Chain of Thought

Force the AI to show its reasoning:

Solve this problem. Show your reasoning at each step before giving the final answer.

Few-Shot Learning

Provide examples:

Convert these sentences to professional tone:

Casual: "Hey, just checking in about that thing"
Professional: "I wanted to follow up regarding our previous discussion"

Casual: "Can you get this done ASAP?"
Professional: [AI completes the pattern]

Self-Consistency

Ask for multiple approaches:

Provide 3 different solutions to this problem, then analyze which is best and why.

Persona Stacking

Combine multiple perspectives:

Analyze this business plan from three perspectives:
1. As a venture capitalist
2. As a potential customer
3. As a competitor

Common Mistakes & Fixes

Mistake 1: Too Vague

❌ "Write about dogs"

✅ "Write a 500-word blog post about the top 5 dog breeds for apartment living, targeting first-time dog owners"

Mistake 2: No Context

❌ "Make this email better"

✅ "I'm emailing a potential client who showed interest at a conference. Make this follow-up email more compelling while maintaining professionalism"

Mistake 3: Overloading

❌ One prompt with 10 requests

✅ Break into focused, sequential prompts

Mistake 4: No Format Guidance

❌ "Give me information about X"

✅ "Provide information about X in a table with columns for [A], [B], and [C]"

Tool-Specific Tips

ChatGPT

• Use Custom Instructions for persistent context
• Reference conversation history
• Use plugins for enhanced capabilities

Claude

• Leverage the long context window
• Use XML tags for structure
• Artifacts for code and documents

Midjourney

• Style keywords: cinematic, photorealistic, illustration
• Aspect ratios: --ar 16:9, --ar 1:1
• Quality settings: --q 2 for higher quality

Practice Exercises

Exercise 1: Improve This Prompt

Original: "Write a story"

Your improved version: [Practice here]

Exercise 2: Add Structure

Task: Get AI to write a product description

Add: Role, Context, Format, Examples

Exercise 3: Chain of Thought

Task: Have AI solve a logic puzzle

Requirement: Force step-by-step reasoning

Measuring Prompt Quality

Good prompts result in:

1. Relevant outputs (matches intent)
2. Consistent results (reproducible)
3. Minimal iterations needed
4. Appropriate length/format
5. Actionable content