Prompt Engineering for ChatGPT

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Prompt Engineering for ChatGPT

位教师：Anton Voroniuk

顶尖授课教师

包含在中

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6个模块

深入了解一个主题并学习基础知识。

初级等级

推荐体验

4 小时完成

灵活的计划

自行安排学习进度

6个模块

深入了解一个主题并学习基础知识。

初级等级

推荐体验

4 小时完成

灵活的计划

自行安排学习进度

您将学到什么

Master professional frameworks like CO-STAR, CREATE, and RACE to build precise, high-performance prompts for complex business and academic tasks.
Use prompt chaining and advanced logic to automate multi-stage workflows, reduce hallucinations, and transform raw data into structured reports.

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该课程共有6个模块

By the end of this course, you will master the art of architectural prompting—moving beyond casual conversation to professional-grade AI orchestration. You will learn to leverage industry-standard frameworks like CO-STAR, RACE, and CREATE to build high-performance outputs, understand the statistical "hood" of tokens and probabilities to eliminate hallucinations, and chain complex prompts to handle large-scale projects with surgical precision.

Completing this course transforms ChatGPT from a simple chatbot into your ultimate professional multiplier. Whether you are a student, a business lead, or a creative, you will gain the ability to synthesize raw data into polished reports and automate repetitive workflows, saving hours of manual labor. What makes this course unique is its focus on structural rigor and future-proofing. We don’t just give you a list of "cool prompts"; we teach you the underlying logic of generative AI and prepare you for the coming era of autonomous agents. If you’re a beginner, we provide a structured path to mastery; if you’re an experienced user, we offer the technical depth to turbocharge your efficiency. Stop just "chatting" and start architecting your future in the AI-native world.

Get started with generative AI by understanding how Large Language Models function and mastering the fundamental structure of an effective prompt.

涵盖的内容

3个视频2篇阅读材料1个作业

3个视频总计6分钟

Introduction to the Course1分钟
How LLMs Work: Tokens, Probabilities, and Predictions2分钟
The Anatomy of a Prompt: Context, Instruction, and Output3分钟

2篇阅读材料总计20分钟

The Evolution of GPT Models: From GPT-3.5 to GPT-5.410分钟
Terminology Guide: Temperature, Top-P, and System Messages10分钟

1个作业总计8分钟

Test Your Knowledge8分钟

Master the art of structured communication by exploring essential prompting frameworks and learning how to refine AI responses through iterative techniques.

涵盖的内容

4个视频1篇阅读材料1个作业

Explore advanced cognitive prompting techniques to enhance AI reasoning capabilities, minimize hallucinations, and solve complex logic problems using systematic thinking methods.

涵盖的内容

3个视频2篇阅读材料1个作业

3个视频总计8分钟

Zero-Shot vs. Few-Shot Prompting3分钟
Implementing Chain-of-Thought (CoT) Prompting2分钟
Reducing Hallucinations: Verifiable Facts and Constraints3分钟

2篇阅读材料总计20分钟

The Science of "Thinking Step-by-Step": Why CoT Improves Accuracy10分钟
Case Study: Solving Logic Puzzles with Deliberate Prompting10分钟

1个作业总计10分钟

Test Your Knowledge10分钟

Learn to control the persona, tone, and technical format of AI responses to produce professional-grade content tailored to specific industry standards and data requirements.

涵盖的内容

3个视频3篇阅读材料1个作业

3个视频总计7分钟

The Masterclass of Reverse Prompting3分钟
Mastering Output Formats (Markdown, JSON, Tables)2分钟
Transforming Raw Data into Formatted Reports2分钟

3篇阅读材料总计35分钟

Role-Prompting: Why Personas Change the Output Quality10分钟
Creating Custom Instructions for Professional Writing15分钟
Tone and Voice Guide: Adjusting for Different Industries10分钟

1个作业总计10分钟

Test Your Knowledge10分钟

Apply advanced prompting strategies to real-world scenarios by mastering complex prompt chaining, organizational frameworks, and ethical AI usage through interactive simulations.

涵盖的内容

2个视频1篇阅读材料1个作业

Conclude the course by exploring the future of autonomous AI agents and consolidating your knowledge with essential resources for long-term prompting success.

涵盖的内容

2个视频1篇阅读材料1个作业

位教师

授课教师评分

(5个评价)

顶尖授课教师

Anton Voroniuk

SkillsBooster Academy

52 门课程20,644 名学生

提供方

SkillsBooster Academy

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