Stepik 🔥 Prompt Engineering: The Art of Conversation with ChatGPT
О курсе
Подробнее
Course Goal — to teach you how to effectively interact with large language models (LLMs), such as ChatGPT, through well-crafted prompts. You’ll learn how to turn AI into an assistant, automate routine tasks, and solve problems faster — all without programming.
💡 Why this course?
Prompt engineering is a key AI skill in 2025. We’ve made this course practical: minimal theory, maximum useful templates, cases, and automations. This is not just “ask AI a question,” but build a system that works for you.
🎓 What you will gain after completing the course:
The ability to communicate with AI at a professional level;
A library of ready-made prompts for marketing, programming, and analytics;
An understanding of complex prompt architecture and strategies like Chain of Thought;
The skill to connect LLMs to Google Sheets, Notion, Make and automate tasks.
✨ Course Features:
Based on real-world tasks from marketing, development, and analytics;
Simple explanations even for those who don’t code;
A structured approach: from basic queries to API-driven automation;
Assignments with feedback and opportunities to apply your knowledge in practice.
🛠️ What you’ll be doing:
Completing practical exercises;
Applying acquired knowledge to your own tasks or course cases;
Taking tests and interactive exercises.
📦 Course Structure:
Introduction to Prompt Engineering — how LLMs work, perception of tables, quality metrics;
Prompts for Real Work — text, code, report generation, localization;
Prompt Architecture — strategies like Chain of Thought, ReAct, modularity;
Automation — integration with APIs, working via Google Sheets, Make, Notion;
Требования
Что нужно для старта
- The course is designed for a broad audience and does not require a technical background or programming experience. However, for a comfortable learning experience, it is recommended to:
- 💻 Be confident in using a computer and online services (Google Docs, Notion, ChatGPT, etc.);
- 🌐 Have a basic understanding of what artificial intelligence is and how ChatGPT works (a user-level knowledge is sufficient);
- 📄 Be able to express thoughts in writing and understand how to structure text — this will help in creating clear prompts;
- 🕵️ Be ready for experimentation, testing, and reflection: the course is not about memorization, but about practice and improving your prompts step by step.
Результат
Что вы получите
- 🧠 Explain how LLMs work and how they interpret text, tables, lists, and JSON.
- 📊 Analyze prompts and evaluate their quality using practical metrics.
- ✍️ Develop prompts for generating content, code, analytics, and localization.
- 🧩 Apply strategies like Chain of Thought, ReAct, and few-shot for more accurate answers.
- 🛠️ Design modular and reusable prompts for recurring tasks.
- 🔗 Integrate LLMs into your tools via API and no-code platforms (Google Sheets, Notion, Make).
- 🤖 Automate routine processes with prompts — without a single line of code.
- 🎯 Adapt prompts for different roles: marketer, developer, analyst, teacher, and more.
Аудитория
Для кого этот курс
- 👩💼 For marketers and SMM specialists who need to quickly create posts, headlines, email campaigns, and content ideas, saving team time and resources.
- 👨💻 For developers and analysts who want to speed up code, SQL query, test, or data explanation generation. Especially useful for those dealing with routine tasks or writing documentation frequently.
- 🧑🏫 For teachers and instructional designers who need to create educational materials, check assignments, write tests, and adapt courses for different students.
- 📊 For business analysts, managers, and executives who need to quickly prepare reports, presentation summaries, meeting recaps, or automate repetitive tasks.
- 🧑🎨 For freelancers and content creators who want to work faster, more accurately, and take on more projects without losing quality.
- 🧠 For those who have already tried ChatGPT but want a systematic approach, clear methods, and automation — instead of trial-and-error experiments.
Содержание
4 занятияПрограмма курса
№ТемаЧто внутри
01Introduction to Prompt Engineering and the Basics of Interaction
- What Are LLMs and How Do They "Think"?
- Prompt Structure: from Command to Interface Design
- How LLMs Interpret Tables, Lists, JSON, and Markdown
- Prompt Quality Metrics: from Subjective to Measurable
02Prompts for Real Work: Cases and Templates
- Prompts for Content: Marketing, Social Media, Email
- Prompts for Code: Generation, Tests, Review
- Data Analysis and Reports
- Verification, Improvement, and Localization
03Architecture of Complex Prompts
- Chain of Thought, Tree of Thought, ReAct
- Few-shot + Tool Use
- Modularity and Reusability
04Automation and Integration into Workflows
- Integration via API
- Automation with Google Sheets, Notion, Make
- Summary
01Introduction to Prompt Engineering and the Basics of Interaction
- What Are LLMs and How Do They "Think"?
- Prompt Structure: from Command to Interface Design
- How LLMs Interpret Tables, Lists, JSON, and Markdown
- Prompt Quality Metrics: from Subjective to Measurable
02Prompts for Real Work: Cases and Templates
- Prompts for Content: Marketing, Social Media, Email
- Prompts for Code: Generation, Tests, Review
- Data Analysis and Reports
- Verification, Improvement, and Localization
03Architecture of Complex Prompts
- Chain of Thought, Tree of Thought, ReAct
- Few-shot + Tool Use
- Modularity and Reusability
04Automation and Integration into Workflows
- Integration via API
- Automation with Google Sheets, Notion, Make
- Summary
Организатор
Автор курса
Мнения учеников
Отзывы о курсе
Оставьте отзыв
Расскажите о качестве обучения, поддержке и результате. Это поможет другим выбрать организацию осознанно.
Оставьте заявку
Консультант ответит на вопросы о курсе «🔥 Prompt Engineering: The Art of Conversation with ChatGPT» и поможет разобраться в деталях обучения.
Нажимая кнопку, вы даете согласие на обработку персональных данных
Направления:Нейросети и ИИ
Информация обновлена 7 сентября 2026 г.
Продолжить выбор
Похожие курсы
Начать без затрат
