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Prompt Engineering
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Prompt Engineering Tutorial
Techniques for getting reliable, high-quality output from LLMs.
Start the Prompt Engineering tutorial →
What you'll learn
1. Prompt Engineering Introduction
What prompt engineering is, why it matters, and the anatomy of a good prompt: context, task, format and constraints.
2. Core Prompting Techniques
Zero-shot vs few-shot prompting, chain-of-thought reasoning, and system prompts vs user prompts.
3. Advanced Prompting
Requesting structured JSON output, function/tool calling as a prompting pattern, and self-consistency.
4. Multi-Modal Prompting
Prompting with images and documents alongside text, and what changes about reliability and specificity.
5. Prompt Injection & Security
Direct and indirect prompt injection attacks, concrete examples, and structural mitigation strategies.
6. Evaluating Prompts Systematically
Building an evaluation dataset, A/B testing prompt variants, and regression-testing prompts before shipping.
7. Prompt Templates & Versioning
Managing prompts as versioned artifacts instead of inline strings, and a practical rollout/rollback workflow.
8. Prompt Engineering Interview Questions
Commonly asked prompt engineering interview questions with clear, practical answers.