Journey

Learn Prompt Engineering

A free, interactive online prompt engineering course. You write AI prompts on every lesson, against real LLM outputs, with a free certificate when you finish.

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11,332+ codders enrolled

23 lessons14 challenges175 quiz questions

Beginner friendly
AI-assisted coding help
Hands-on interactive lessons
Audio narration on every lesson
Quizzes to test your knowledge
Free certificate of completion

Syllabus

1 sections23 lessons14 challenges175 quiz questions

Section 1
Fundamentals
Start sectionStartExpandCollapseThe basics of prompts engineering.23 lessons14 challenges175 questions
Welcome to the AI Era
6 lessons537
01What Even Is AI?Challenge
02AI Is Not GoogleChallengeQuiz
03AI Is Not a HumanChallengeQuiz
04Your First Real TaskChallengeQuiz
05The AI Can Be WrongChallengeQuiz
06What Is a "Model"?Quiz
How AI Reads You — Tokens
6 lessons247
01What Are Tokens?ChallengeQuiz
02Words ≠ TokensQuiz
03Why Token Counts MatterQuiz
04The Context WindowChallengeQuiz
05Tokens in Other LanguagesQuiz
06Special Tokens You Never SeeQuiz
Writing Your First Prompts
4 lessons333
01AI Talks Markdown (By Default)ChallengeQuiz
02Controlling the Output FormatChallengeQuiz
03Controlling Tone and StyleChallengeQuiz
04When the AI Ignores YouQuiz
The System Prompt
7 lessons458
01What Is the System Prompt?ChallengeQuiz
02Setting Personality and RoleQuiz
03Setting Rules and ConstraintsQuiz
04System Prompt vs. User PromptChallengeQuiz
05System Prompt ConflictsChallengeQuiz
06Crafting a System PromptQuiz
07System Prompt InjectionChallengeQuiz

What you get

Everything you'll use to learn to code

Learn by Doing

Write real code, query databases, build websites, and master AI prompts. Our interactive lessons cover every skill modern developers need.

playground.js

Code Editor

1const greeting = "Hello, Coddy!"

2function sayHi(name) {

3 return greeting + " " + name

Test #1

Test #2

Test #3

Input

"Alex"

Output

"Hello, Coddy! Alex"

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January 2026

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Take your coding journey on the go! No setup, no downloads - just open and start coding. Available on iOS, Android and Web with 4.9 star ratings.

250

Variables

CONTINUE

4.9

Rating

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Compete on global leaderboards, invite friends to earn rewards, and celebrate each other's wins. Coding is better with friends!

Challenger LeagueTop 7 advance

Alex7+ Days

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Promotion zone

Every way to learn

Read, listen, test yourself, ask the AI, or look up anything you've already covered. Every lesson meets you where you are.

Intro to Variables

Audio

A variable is a named container that stores a value you can reference later in your program.

In Python, you create one by writing the name, an equals sign, then the value you want to store.

The value can change over time - reassigning the name simply points it to a new value.

1xSarah

Prove Your Skills

Earn certificates for every course you complete. Add them to your LinkedIn profile and resume to showcase your coding expertise to employers.

Certificate of Completion

This certifies thatJohn Doehas successfully completed

Python Fundamentals

DateJan 2026

Add to LinkedIn

Why learn prompt engineering with Coddy

Practice real AI prompts in your browser and see live LLM responses. No API keys to manage, no setup. Every prompt-engineering exercise runs against a real model so you learn what actually changes the output.
Prompt engineering as it's actually used: clear instructions, few-shot examples, role and persona prompts, structured output, chain-of-thought reasoning, prompt-injection awareness. The techniques every AI prompt engineer needs.
AI hints walk you through why a prompt failed and what to change, so you build a real intuition for ChatGPT, Claude, and other LLMs instead of just copying templates.
Free prompt engineering certificate when you finish the course. A credible signal for AI, content, support, and product roles where prompt-engineering skills are increasingly expected.

Frequently asked questions about learning prompt engineering

What is prompt engineering?

Prompt engineering is the practice of writing inputs to large language models - like ChatGPT, Claude, or Gemini - in a way that reliably produces the output you want. It covers structure, examples, role and persona setup, output formatting, chain-of-thought reasoning, and avoiding prompt-injection issues. A practical, hands-on skill rather than a theoretical one.

Do I need coding experience to learn prompt engineering?

No. Prompt engineering is mostly about communication, structure, and testing, not about writing code. You'll get more out of it if you eventually want to call LLMs from your own programs (Python and JavaScript are popular choices), but the core skill is language-agnostic and the course doesn't assume any coding background.

How long does it take to learn prompt engineering?

You can learn the core techniques - clear instructions, few-shot examples, structured output, role prompting - in one to two weeks of daily practice. Becoming reliably good at prompt engineering across different tasks (analysis, writing, code, reasoning) usually takes one to three months of working with real LLMs on real problems.

What's the difference between a prompt and prompt engineering?

A prompt is what you type into an AI. Prompt engineering is the discipline of designing those prompts intentionally - picking the right instructions, examples, format, and constraints so the output is consistent, accurate, and useful. The same model can produce a wildly different answer depending on how the prompt is engineered.

Is prompt engineering still a useful skill?

Yes. Even as models get smarter, the gap between a casual prompt and a well-engineered one stays large. Most production AI features (chatbots, agents, summarizers, content tools) live or die on prompt design, and most teams shipping AI products treat prompt engineering as a core skill rather than a one-off.

Do I get a certificate after the prompt engineering course?

Yes. Finishing the prompt engineering course gives you a free certificate of completion you can add to your resume or share on LinkedIn. A verifiable signal that you've worked through a structured, hands-on AI prompts course, not just watched videos.