Claude Code
from scratch
Learn to direct AI agents and build real, working projects — at your own pace.
What you’ll actually learn
Knowing a programming language still matters. But this Claude Code course goes one step further — it teaches you to:
Brief the agent so it does exactly what you need
Instead of guessing later what it “meant”.
Read and understand the code it wrote
So you own the result instead of just hitting “generate”.
Turn all of that into real, working software
Sites, bots, games — not check-the-box exercises.
All of it serves one goal: a stable, well-paid career in tech that won’t fall apart with the next model release.
Sound familiar?
Your job isn’t what you love — and it doesn’t pay well either. The thought “maybe I should move into tech” isn’t new. But now the usual doubts (“I’m not technical”, “I’m too old”, “what if I can’t handle it”) have one more on top:
is it even worth learning to code now, if AI will be doing it in a couple of years?
You’re not racing AI to type code faster — you’re learning to be the one who directs it.
It’s the one skill in tech with no “AI will replace it” scenario — because the skill is working with AI itself.
How the course works
Tommy · Oliver · Tony · and othersThe course isn’t a lecture library — it’s a story. You step into the shoes of Tommy, an ordinary guy who has to work out from scratch how to build real software alongside AI, guided by an experienced mentor, Oliver. 16 levels take you from “what is a terminal” to the discipline that working AI-native developers rely on.
The first steps happen right in the browser, nothing to install: it’s easier to get a feel for what’s going on before you start wrestling with tools. After that it’s the real thing — a single installer puts the IDE, our plugin (it pulls in your tasks and sends your solutions off to be checked) and Claude Code on your machine, configured and ready, with our access key already in place.
What you’ll build
At CodeGym we’re obsessed with practice — and as always, the course brings a whole lineup of real projects rather than abstract check-the-box exercises. This time, honestly, they’re even more fun than usual.
First game
You brief an analyst agent — it breaks the task into steps. A coder agent assembles the code. You review the result — and that same day a working browser game is running on your screen.
First client
A real client brief and the lesson that vague requirements mean vague results — not in theory, but on a live task.
Tetris
You build the classic — and pick up your first undo button for code, which beats folders named “final-final”.
Snake, but neon
From a plain working version to a striking one — plus your first reusable “skill” for the agent.
A site that lives online
Not “works on my machine” — genuinely opens for anyone, from a link, on any phone.
A second pair of eyes
You teach the agent to find a bug in your own code — one that its author can’t see even when it’s right under their nose.
Earthquake radar
The app updates not because you tweaked something, but because something actually happened somewhere in the world. Same technique — a bitcoin tracker.
A bot that runs itself
You set up automation that keeps a decision log without any input from you — “it just happens”, except it happens by rules you wrote.
Chess against AI
Through the browser, the agent literally sits down at the board and plays a game on its own while you drink your tea. For once, an opponent that really thinks.
This is where it changes
Two big moments at once. The childhood dream of a world made of blocks stops being out of reach — a voxel 3D world, built step by step with AI, that you can actually walk through, right in the browser. And in the same level you’re trusted with a large client portal for the first time, where what’s at stake isn’t a grade but a result.
From here on, what’s behind you isn’t practice exercises — it’s work you can show in an interview, to an investor, or just to a friend.
And these are only the first 10 of the 16 levels. After level 10 the real engineering discipline begins — the shift from “it runs on my laptop” to “this can ship to production”. What you build there, we’ll leave as a surprise.
What you get
First tasks run in the browser
No setup, right in the first lesson.
Tasks checked in seconds
With specific requirements and recommendations, not just “right/wrong”.
An AI mentor inside the IDE
It sees your code and your task, knows the whole course — and answers immediately, not a day later on a forum.
200+ hands-on tasks
Real projects: landing pages, bots, games, work with live data.
Claude Code access included
No separate subscription to pay for.
Work you can actually show
What you build halfway through the course already sits at the level companies pay mid-level developer salaries for today.
Already sure this is for you? You don’t have to read to the end to begin.
Why the usual route doesn’t work
If you’ve already tried breaking into tech on your own or through a typical course, this will sound familiar:
Tons of theory — then the practice task demands something nobody explained.
Feedback is a robot’s “right/wrong”, or a multi-day queue on a forum.
Job promises that sound great, with no specifics on how that would actually happen.
AI is either ignored entirely or used as a scare story in the news — with no practical answer on what to do about it.
Here it works differently: results are visible immediately, answers come instantly, and the AI question isn’t something we dodge — it’s what the entire course teaches.
“Is it really from scratch, or do I need some background?”
From scratch in the literal sense — level one starts with what a terminal is. You don’t need to know anything in advance, you don’t need to know how to code, you don’t even need to know what an AI agent is — the course explains it as you go, never earlier than you need it.
“What if I’m not smart enough and can’t handle it?”
Tommy feels exactly the same in his very first session — that’s part of the story, not a sign you’re in the wrong place. Being lost in the first minutes is normal and expected, not a verdict on you.
“What’s the stack? Which languages and technologies?”
Fair question — but here it isn’t the one that decides anything: the AI agent writes the code itself, in whichever language fits the task. Your skill isn’t a specific language but the part that doesn’t expire — stating the task precisely, reviewing and understanding the result, running your work through git. Which is exactly why it doesn’t matter what will be fashionable in two years.
“What if I get stuck with no one to ask?”
Inside the development environment, the same AI you’re learning to direct will answer any question instantly, at any hour. Not a day later, not on a tutor’s schedule.
“What if all of this is pointless because of AI?”
You’re not racing AI to type code faster — you’re learning to be the person who directs it.
“Is it worth paying if I’m not sure I’ll finish?”
The beginning is completely free — judge for yourself before paying a single dollar.
Where you’ll be in a few months
By then you won’t just have “finished a course” — you’ll have real, working projects you built yourself by directing AI. You’ll understand what’s going on under the hood, you’ll be able to explain and defend your decisions — and you’ll hold exactly the skill employers are hunting for today.
One click — and the story begins
Nothing to install. Nothing to decide up front. One click and you’re in level one, with a real task and an AI agent ready to carry it out.