Чему вы научитесь
- 🧠 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.
О курсе
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;
Для кого этот курс
Начальные требования
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.
Наши преподаватели
Как проходит обучение
The training is structured so that you don’t just watch lectures, but immediately start applying the knowledge in practice. The course is divided into short, intensive modules, each of which includes:
- 🧪 Practical assignments — you will write and improve prompts, work with templates, and analyze LLM responses.
- ✅ Auto-graded tests — help reinforce the material and quickly identify where you went wrong.
- 💬 Platform feedback — instantly see the result and get suggestions for improvement.
- 📂 Ready-made templates and examples — which you can adapt to your profession and use after the course.
- 🏁 Final project — you will create your own set of prompts for your field (content, code, reports, automation).
Программа курса
Отзывы прошедших курс
Что вы получаете
- 🧠 Practical prompt engineering skills that are in demand in IT, marketing, analytics, and education.
- ✍️ The ability to craft effective prompts for generating text, code, reports, and automating tasks.
- ⚙️ Hands-on experience with real-world scenarios: content, code, data, business communications, localization.
- 💼 Templates and ready-made prompts you can use in your profession or adapt for projects.
- 💬 Access to a solutions and discussions forum, where you can ask questions, share ideas, and get feedback.
- 📜 A course completion certificate confirming your skills — suitable for your résumé or LinkedIn profile.
- 🚀 Confidence in working with AI, understanding its strengths and weaknesses, and most importantly — the ability to turn it into a tool for your own tasks.