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Prompt Master

Prompt 大师

掌握和 AI 对话的艺术

简介 →更多 Prompt Wiki ↗

Prompt Master

Master the art of talking to AI

👤For: Working professionals / Students / Developers / Anyone who wants better results from AI
⏱️2-3 weeks
📊Beginner

Example: asking AI to "write me an email" gives you a generic template. Add the recipient's background, purpose, and tone requirements, and AI produces a send-ready email -- no back-and-forth needed. That's the practical value of prompt skills.

This track teaches a reusable structure, not magic phrases: goal, context, constraints, output format. Once you nail these four elements, you can get usable first-draft results from AI for writing, data analysis, code generation, and image creation.

The curriculum is built around GPT-4o, Claude 4.5, and Gemini's latest capabilities, covering the full skill stack from zero-shot to Chain of Thought, from basic prompts to Agent workflows.

30-Second Quick Start

Try it now. Open ChatGPT or Claude and paste this prompt:

你是一位资深助理，请把我的"零散需求"整理成一份可执行的计划。 要求： 1) 先用一句话总结目标 2) 输出一个表格：步骤 / 产出物 / 负责人 / 截止时间 / 风险 3) 如果信息不足，请先提出最多 5 个澄清问题，再给出一个"默认假设版"的计划 4) 全程用中文 零散需求： - 想在 2 周内完成一个 AI 学习计划 - 每天最多 60 分钟 - 目标是学会写 Prompt，并能在工作中用起来 - 我希望每周都有一个小作品

You will get a structured plan plus clarifying questions. From there, just fill in details and iterate on the prompt to turn AI into a real execution assistant.

What You Will Learn

In this tutorial, you will learn:

  • ✓Master the four-element prompt structure (goal / context / constraints / output format) to get usable results on the first try
  • ✓Quickly reuse prompt templates for writing, summarization, data analysis, code generation, and image creation
  • ✓Use iteration and self-check techniques to stabilize AI output -- e.g. running the same prompt 3 times with 90%+ consistency instead of 50%
  • ✓Build your own prompt library and reusable workflows instead of starting from scratch every time

Prompt Template Library

✍️Structured Prompt templates, ready to use

Search and filter templates in the study center to quickly generate PRDs, technical proposals, retrospectives, and code delivery materials. Supports structured copy in Chinese and English.

Hundreds of scenario templatesTag filtering / keyword searchOne-click copy to editor
  • Covers product, engineering, growth, and AI engineering scenarios, including system prompts and persona examples.
  • Templates include built-in variables and example outputs to reduce drift and stabilize generation results.
  • Linked with learning paths: jump to the template library for practice or deliverables after finishing chapters.
Open Prompt Template LibraryPreview template examples

Prompt Lab Practice

🧪Practice Prompts with real cases - run and see scores instantly

Prompt Lab covers warm-up to production-level cases: JSON structured output, Few-shot, long-context stability, RAG, tool use, and more. Every lab has scoring and history for review.

  • Warm-up / Foundation / Production - three difficulty levels, progressive
  • Built-in examples and prompt templates to avoid blank-page anxiety
  • Run history and best scores are trackable for team comparison
Enter Prompt Lab NowView all labs

Chapter Overview

Quick preview by section - jump directly to what interests you.

Section
Introduction

What prompt engineering is and how you will use prompts to work with LLMs

6 lessonsReading / Visual
Enter Introduction
Section
Techniques

Prompting without providing any examples

17 lessonsReading / Visual
Enter Techniques
Section
Prompt Library

A collection of reusable, task-oriented prompt templates

36 lessonsReading / Visual
Enter Prompt Library
Section
Risks

Understanding adversarial prompting and input hijacking risks

4 lessonsReading / Visual
Enter Risks
Section
Agents

AI Agent definition, capability boundaries, and typical use cases

6 lessonsReading / Visual
Enter Agents
Section
Models

Model overview and selection guide

20 lessonsReading / Visual
Enter Models
Section
System Prompts Masterclass

What System Prompts are and why they matter

8 lessonsReading / Visual
Enter System Prompts Masterclass
Section
Google Official Essentials

What Generative AI is and how it differs from traditional machine learning

5 lessonsReading / Visual
Enter Google Official Essentials

Recommended Learning Path

We have prepared a detailed learning roadmap to help plan your journey.

🗺️
Prompt Master Learning Roadmap
View full roadmap

FAQ

Is Prompt Engineering a real skill or just hype?
Models are getting smarter, and the gap between good and bad prompts is shrinking for simple tasks. But for complex scenarios - like structured JSON output, multi-step reasoning, or agent workflows - prompt technique still matters a lot. This skill will remain valuable for at least the next 2-3 years.
Do I need to know programming to learn Prompt?
No. Prompting is essentially describing tasks in natural language - the key is breaking down requirements clearly. However, knowing some JSON and API concepts helps when you reach the Agent and Tool Use sections.
Which models does the course cover?
Primarily GPT-4o, Claude 4.5, and Gemini for demonstrations. Different models respond differently to prompts - Claude is better at following complex instructions, while GPT-4o is more flexible for creative generation. The course teaches universal structured techniques that transfer across models.
What is Prompt Lab?
An interactive practice platform with 41 experiments. You write prompts, AI scores them instantly and gives improvement suggestions. For example, in the JSON output experiment, you need 3 consecutive valid JSON outputs to pass - much more effective than reading documentation.
How long does it take to complete?
Depends on your commitment. At 30 minutes daily doing Prompt Lab exercises, the basics take about 1 week, and the full course (including Agent and production-level prompts) takes about 2-3 weeks. No need to rush - pick modules that interest you.