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
🧠 Prompt Engineering — unleash AI to the fullest! Learn to craft requests for ChatGPT that turn it into a copywriter, programmer, analyst, and assistant all at once. One prompt — and the task is done. No magic. Just clear techniques and real cases.
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.
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.
Преподаватели курса
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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).
Что вы получите
- 🧠 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.
Нагрузка
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