Prompt Engineering

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Prompt Basics

1
Introduction to Prompt Engineering
16 min
FREE
2
Anatomy of Effective Prompts
20 min
FREE
3
Prompt Structure and Components
18 min

Advanced Techniques

4
Few-Shot and Zero-Shot Prompting
22 min
5
Role-Based Prompting
20 min
6
Constrained and Format-Specific Prompts
24 min

Chain-of-Thought & Reasoning

7
Chain-of-Thought Prompting
26 min
8
Tree of Thoughts and Advanced Reasoning
28 min
9
Self-Consistency and Verification
22 min

Production Prompt Strategies

10
Optimizing Prompts for Production
24 min
11
Error Handling and Edge Cases
20 min
12
Prompt Injection and Security
25 min

Introduction to Prompt Engineering

Welcome to Prompt Engineering! This course will teach you the art and science of crafting effective prompts to get the best results from Large Language Models. Prompt engineering is a critical skill for anyone working with AI systems.

What is Prompt Engineering?

Prompt engineering is the practice of designing and refining input prompts to elicit desired outputs from AI language models. It's about understanding how to communicate effectively with AI to achieve specific goals, whether that's generating code, writing content, analyzing data, or solving complex problems.

Why Prompt Engineering Matters

The same AI model can produce vastly different results based on how you prompt it:

  • Quality - Better prompts lead to more accurate, relevant, and useful responses
  • Efficiency - Well-crafted prompts save time and reduce iterations
  • Consistency - Structured prompts produce more reliable outputs
  • Control - Precise prompts give you better control over AI behavior

Key Principles of Effective Prompts

  • Clarity - Be clear and specific about what you want
  • Context - Provide relevant background information
  • Constraints - Specify format, length, style, or other requirements
  • Examples - Show examples of desired outputs (few-shot learning)
  • Iteration - Refine prompts based on results

Common Prompt Patterns

Throughout this course, you'll learn various prompt patterns:

  • Instruction Prompts - Direct commands for specific tasks
  • Role-Based Prompts - Assigning personas or expertise to the AI
  • Few-Shot Prompts - Providing examples to guide behavior
  • Chain-of-Thought - Encouraging step-by-step reasoning
  • Template Prompts - Reusable structures for common tasks

Real-World Applications

Prompt engineering is used across industries:

  • Software Development - Code generation and debugging
  • Content Creation - Writing, editing, and ideation
  • Data Analysis - Extracting insights from information
  • Customer Service - Building chatbots and assistants
  • Education - Creating personalized learning experiences
  • Research - Literature review and summarization

What You'll Learn

This comprehensive course covers:

  • Fundamentals of prompt structure and design
  • Advanced techniques like chain-of-thought prompting
  • Zero-shot and few-shot learning strategies
  • Prompt optimization for production systems
  • Security considerations and prompt injection prevention
  • Best practices for different use cases

Course Prerequisites

This course is suitable for:

  • Developers working with AI APIs
  • Content creators using AI tools
  • Anyone interested in getting better results from AI
  • No deep technical knowledge required - just curiosity!

By the end of this course, you'll be able to craft sophisticated prompts that unlock the full potential of Large Language Models.

Let's master the art of prompt engineering!