Generative AI: Prompt Engineering Basics

Chapters

1Foundations of Generative AI

2LLM Behavior and Capabilities

3Core Principles of Prompt Engineering

4Writing Clear, Actionable Instructions

5Roles, Personas, and System Prompts

6Supplying Context and Grounding

7Examples: Zero-, One-, and Few-Shot

When to Use Zero-Shot One-Shot Demonstrations Few-Shot Prompt Patterns Selecting Quality Exemplars Counterexamples for Boundaries Order and Primacy Effects Formatting Exemplars Cleanly Label and Schema Consistency Difficulty Gradient Design Input–Output Pair Crafting Contrastive Example Pairs Minimal Pair Construction Avoiding Selection Bias Decision Boundary Illustration Knowing When to Skip Examples

8Structuring Outputs and Formats

9Reasoning and Decomposition Techniques

10Iteration, Testing, and Prompt Debugging

11Evaluation, Metrics, and Quality Control

12Safety, Ethics, and Risk Mitigation

13Tools, Functions, and Agentic Workflows

14Retrieval-Augmented Generation (RAG)

15Multimodal and Advanced Prompt Patterns

Courses/Generative AI: Prompt Engineering Basics/Examples: Zero-, One-, and Few-Shot

Examples: Zero-, One-, and Few-Shot

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Use demonstrations to steer behavior, balancing exemplar quality, order effects, and when to skip examples entirely.

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Knowing When to Skip Examples

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