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Free · project-based · code-reviewed

Learn real computer science,
one minute at a time

Choose a browser exercise in C or Python and write your first program — no sign-up, nothing to install. Then build the real project in a repository of your own, with AI-assisted code review on your project work.

26 exercises · about 209 minutes in total · stop after one if you like

Watch the short lessons

One real computer-science concept at a time — from hardware up to running code.

Open the YouTube channel

short · free

Rather talk to a person first? An advisor can answer your questions and help you pick a track before you sign in to anything.

How it works

Watch. Practise. Build. Get reviewed.

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STEP 1

Watch

Short videos, one real concept at a time — from how a transistor works to your first C program. Free to watch.

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STEP 2

Practise

Short exercises that run in this page: write the code, press Run, see what it does. 26 of them across C and Python, each one preparing you for a specific project. No account, nothing to install.

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STEP 3

Build

Then the real thing: a project with a brief and its project assessment criteria (what the review checks), in a private repository set up for you. You write all of it — the exercises were the rehearsal.

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STEP 4

Get reviewed

Our AI-assisted review reads your project work and writes back: what is correct, what is fragile, what a reviewer would ask. Plus questions about your code that check you can explain it.

Start here

Write C before you commit to anything

26 short exercises that run in your browser. You write real C — pointers, arrays, bit manipulation, argv — and real Python, against a customer’s messy data. The runtimes stop on the mistakes a real toolchain lets through, in plain English: reading memory you never wrote to, running off the end of an array, an assistant citing a policy that was superseded a month before the claim. They are teaching runtimes, not the compiler or interpreter your project uses, and they say so on every screen.

Start free

Your first project costs nothing

Sign in with GitHub and we set up your first project from the C & Systems Programming (Zero to the Kernel) track — the same track our video series and the practice exercises build toward. No payment, no card, no typed usernames. All you need is a free GitHub account.

  • ✓ A private repository with the brief and the project assessment criteria inside
  • ✓ AI-assisted code review on your project work
  • ✓ Questions about your code that prepare you for real interviews
  • ✓ Your project repository is private; any public showcase is opt-in

How the repository works

  • ·It is created inside the TechMonster organization on GitHub and you are invited to it — it is not created under your own account.
  • ·It is private: you, and the people reviewing your work, can see it.
  • ·Your commits are made under your own GitHub identity, and `git clone` gives you a complete copy, history included, that is yours to keep.

Plain words

What “reviewed” means here

Three different things get called the same word across this industry. We keep them apart, because they are worth different amounts to the person reading your profile.

Checked
Your code was run against tests and the results are recorded. That is what the practice exercises do, in your browser. It proves the program behaves, not that you understand it.
Reviewed
Your source was read and written about — correctness, structure, the things a reviewer would raise. On the project, AI-assisted review covers your project work.
Explained
You answered questions about your own code — why this approach, what breaks it, what you would change. It is the part an interview actually tests, and the part nobody can do for you.

Finishing exercises is not a qualification and we do not present it as one. The evidence is the work itself: the commits, the reviews, and your answers.

Real curriculum, in the open

This is not a video course

Behind the lessons is a full engineering curriculum: 24 specialization tracks and 1018 hand-authored projects — from C and systems programming to AI/LLM application engineering. Your project repository is private; any public showcase is opt-in. If you choose to share one, it shows the commits, the reviews and the answers, rather than a certificate. See a sample profile on GitHub.

Ready for the full journey — coaching, interview prep, and a track matched to your target role? Explore the Career Coaching Program.

TechMonster by the numbers

Live counts, not outcomes: we do not publish placements, hires, interviews or salaries. Counts under 10 are shown as “fewer than 10”.

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Questions people ask

Questions people ask about learning here

What are the video lessons?

Short 60-second video lessons, published on the TechMonster YouTube channel, that teach one computer-science concept each. The concept is then built for real in a project repository.

What is the free first project?

The first project of the learning program, set up at no cost in a private GitHub repository when you sign in with GitHub. It is real engineering work, not a quiz.

Who reviews my code?

AI-assisted code review on your project work posts feedback in your repository, including viva-style questions that check you can explain your own code. Human advisors coach the program.

What happens after the free project?

You can request a specialization track from the catalog. An advisor reviews the request and confirms terms in writing before the track repository is set up.