Free course in English18Lessons EnglishLanguage FreePrice
Learn prompt writing systematically
Learn how to write prompts for ChatGPT and other AI tools in English. 18 lessons, ready-made prompt templates, practical exercises, and real-world examples.
Quick answers
Most frequently asked questions
Key questions about AI and prompts, with the lessons that answer them.
What is a prompt?
A prompt is an instruction given to an AI model. When the task, role, context, and format are clearly specified, the result is much more useful.
Read Lesson 1What is few-shot prompting?
Few-shot prompting is showing the model one or two examples, then asking it to follow the same pattern for a new task.
Open Lesson 5What is a prompt chain?
A prompt chain is splitting a complex task into stages: research, outline, draft, and review.
Open Lesson 8What is chain-of-thought prompting?
Chain-of-thought prompting helps the AI model reason step by step, improving accuracy on complex tasks.
Read Lesson 13What is a system prompt?
A system prompt defines the AI model's overall behavior, role, and constraints.
Read Lesson 14How do you write SEO prompts?
SEO prompts work best when you specify search intent, page type, outline, and meta description constraints upfront.
Open Lesson 11Featured lessons
6 detailed lessons to get started
The most comprehensive lessons in the course — with outlines, prompt comparisons, mini-projects, and FAQ sections.
01Detailed lesson
Lesson 1. What is prompt engineering and why does it matter?
Learn the 4 pillars of a strong prompt, the mistakes of vague requests, and the basic structure of a working prompt.
- The 4 pillars of a prompt
- Why vague requests don't work
- Short but specific
02Detailed lesson
Lesson 2. How to properly set role and context
Learn to show the model which specialist it's responding as and in what real situation it should work.
- What the role changes
- What context is actually useful
- How not to overload the prompt
03Detailed lesson
Lesson 3. How to control the output format
Get results immediately as a table, list, outline, or JSON so you can use them without extra rework.
- Why format matters
- Which format suits which task
- How to clean up format with constraints
04Detailed lesson
Lesson 4. Constraints and quality criteria
Learn to set length, tone, restrictions, and evaluation criteria so AI responds within the right boundaries and self-checks quality.
- Why constraints are needed
- Required blocks and restrictions
- Internal review by criteria
05Detailed lesson
Lesson 5. Few-shot prompting and working with examples
Show the model one or two good examples to set the desired style, structure, and response standard.
- The essence of few-shot prompting
- What should be visible in the example
- When one example is enough and when two are needed
06Detailed lesson
Lesson 6. Tone of voice and brand voice
Learn to maintain a consistent tone, vocabulary, and brand style in marketing, support, and content prompts.
- What brand voice consists of
- Recommended and prohibited expressions
- Adapting for different channels
Course map
18 lessons across 5 modules
From core concepts to chain-of-thought, system prompts, and agentic AI techniques.
33 lessons
Module 1. Core Concepts
What is a prompt, what makes a good one, and how to improve your first result.
33 lessons
Module 2. Output Control
How to stabilize model responses using constraints, examples, and tone control.
33 lessons
Module 3. Workflows
How to break complex tasks into steps and build repeatable prompt systems.
33 lessons
Module 4. Practical Applications
Marketing, support, SEO, and team templates for real business tasks.
66 lessons
Module 5. Advanced Techniques
Chain-of-thought, system prompts, model selection, multimodal and agentic AI.
Lessons
All lessons
Each lesson opens on its own page with a prompt template, a hands-on exercise, and an interactive lab.
1-LessonBeginner16 min
Lesson 1. What is prompt engineering and why does it matter?
Learn the 4 pillars of a strong prompt, the mistakes of vague requests, and the basic structure of a working prompt.
2-LessonBeginner18 min
Lesson 2. How to properly set role and context
Learn to show the model which specialist it's responding as and in what real situation it should work.
3-LessonBeginner17 min
Lesson 3. How to control the output format
Get results immediately as a table, list, outline, or JSON so you can use them without extra rework.
4-LessonIntermediate17 min
Lesson 4. Constraints and quality criteria
Learn to set length, tone, restrictions, and evaluation criteria so AI responds within the right boundaries and self-checks quality.
5-LessonIntermediate18 min
Lesson 5. Few-shot prompting and working with examples
Show the model one or two good examples to set the desired style, structure, and response standard.
6-LessonIntermediate18 min
Lesson 6. Tone of voice and brand voice
Learn to maintain a consistent tone, vocabulary, and brand style in marketing, support, and content prompts.
7-LessonIntermediate18 min
Lesson 7. Iterations and prompt improvement
Learn not to accept the first answer as final, but to strengthen results through review, targeted feedback, and controlled rewrite.
8-LessonIntermediate+19 min
Lesson 8. Prompt chains and multi-step tasks
Learn to break complex work into research, structure, draft, and review instead of trying to solve everything with one big prompt.
9-LessonIntermediate+19 min
Lesson 9. The research → outline → draft system
Separate insight gathering, structure building, and text writing to prepare articles, landing pages, and presentations noticeably better.
10-LessonIntermediate18 min
Lesson 10. Prompts for marketing and content
Build posts, ad headlines, captions, and repurposing scenarios so one idea turns into multiple quality formats.
11-LessonIntermediate+18 min
Lesson 11. Prompts for support and SEO
Build FAQ answers, support scripts, SEO outlines, and meta descriptions that are both useful and structural.
12-LessonIntermediate+19 min
Lesson 12. Teams, templates, and automation
Learn to turn good prompts into team templates, a library, and a manageable AI workflow instead of leaving them as random chat messages.
13-LessonIntermediate+20 min
Lesson 13. Chain-of-thought: step-by-step reasoning
A step-by-step reasoning method for complex tasks where the model explains each step of the solution.
14-LessonIntermediate+19 min
Lesson 14. System prompts and persistent instructions
How to give AI a permanent role, behavior rules, and response standards that work throughout the entire conversation.
15-LessonIntermediate18 min
Lesson 15. Which AI model to choose for a task?
GPT-4o, Claude, Gemini, and open models: strengths of each and criteria for choosing the right one for a specific task.
16-LessonIntermediate19 min
Lesson 16. Prompts with images, PDFs, and files
Techniques for writing multimodal prompts to work with images, documents, and files of various formats.
17-LessonIntermediate+21 min
Lesson 17. Agentic AI: multi-step tasks
How AI agents work, how to assign them multi-step tasks, and principles of safe automation.
18-LessonIntermediate+17 min
Lesson 18. Prompt optimization: short and precise
How to remove unnecessary tokens, simplify prompt structure, and reduce costs without losing quality.
Questions
Frequently Asked Questions
What is a prompt?
A prompt is an instruction or request given to an AI model. The clearer you define the task, context, role, and desired output format, the more useful the result will be.
What is prompt engineering?
Prompt engineering is a way of giving AI a task clearly, in a controllable manner, and in the right format. A good prompt specifies the role, task, context, and expected output.
What is few-shot prompting?
Few-shot prompting is an approach where you first show the model one or more examples of the desired output, then ask it to solve a new task following the same pattern.
What is a prompt chain?
A prompt chain is a way to break a complex task into stages like research, outline, draft, and review. This makes it easier to control quality and catch mistakes earlier.
What does the 5 million AI leaders initiative mean?
According to the official publication on President.uz, the 5 million AI leaders initiative continues the 'One Million Programmers' program and aims to train 4.75 million students, 150 thousand teachers, and 100 thousand civil servants by 2030. Prompter Academy helps turn interest in this topic into real prompt engineering and AI workflow skills.
Who is this course for?
The course is useful for marketers, entrepreneurs, support staff, content creators, freelancers, and anyone who wants to use AI tools more effectively in their work.
Is the course free?
Yes. All academy lessons are open and free. You can start learning immediately and use the ready-made prompt templates in your work.
Is there an English version?
Yes. The English version of the academy mirrors the course structure, lessons, and navigation, making the material accessible in English alongside Uzbek and Russian.