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AI Foundations AI in Software Engineering
Three ways in · no degree or prior code needed

Learn to build software, with AI in the loop from day one.

Not a course about AI. A course in building real software, taught the way the job is actually done now — with AI helping you write, review and ship, and with the judgement to know when it is wrong. It runs as three separate courses, and the only thing you have to decide is which part of the product you want to own.

See the three tracks Help me choose
ThreeFrontend, backend, or both
LiveSmall cohort, taught in real time
ZeroPrior experience assumed
Two people working through code together at a laptop
Three tracks
One page
pick after you understand them
You finish with
Shipped
software, not a tutorial folder
Taught live by people who build for a living
Before you choose

Nobody starts out knowing the difference.

So here it is, plainly. Every product has a part people see and touch, and a part that stores the data and does the work. You can learn either one, or both. None of the three assumes you have written code before.

Track one Frontend The part people actually touch. Screens, buttons, the thing that has to work on a phone on a bad connection. Pick this if you are visual, and you want to see what you built the moment you build it. Track two Backend Everything behind the screen. Where the data lives, how it moves, and what happens when ten thousand people arrive at once. Pick this if you like systems and logic, and the problems nobody sees. Track three Fullstack Both ends, and the seam between them — which is where most of the interesting problems live. The longest of the three, on purpose. Pick this if you want to carry a product from idea to shipped on your own.
The three courses

Three separate courses. Pick one.

Each has its own length, its own price and its own cohort. Enrolling takes you straight to that course with it already selected.

Track one

AI Frontend Development

The part of the product people actually touch. You start from nothing — no degree, no prior code — and finish able to build an interface that works on a real phone, for real people, with AI helping you move faster than you could alone.

Enrol now
What you leave able to do
  • Build screens that work on a phone, not only on your laptop
  • Use AI to write and review your code, and spot when it is confidently wrong
  • Turn a design into something people can actually use
  • Ship it somewhere real, with a link you can send to anyone
A developer building an interface on screen
What you build with
HTML CSS JavaScript React Tailwind Git
AI in the loop
Cursor Claude GitHub Copilot
Track two

AI Backend Development

Everything behind the screen: where the data lives, how it moves, and what happens when ten thousand people arrive at once. You build the parts nobody sees and everybody depends on.

Enrol now
What you leave able to do
  • Design where data lives and how it is kept safe
  • Build the interfaces other software talks to
  • Use AI for the repetitive work, and your own judgement for the decisions that matter
  • Make something that holds up under load, not only on your laptop
Engineers reviewing system behaviour together
What you build with
Python Node.js SQL PostgreSQL REST APIs Git
AI in the loop
Cursor Claude ChatGPT
Track three

AI Fullstack Development

Both ends, and the seam between them — which is where most of the interesting problems live. The longest of the three on purpose: you build a complete product, screen to database, and own every layer of it.

Enrol now
What you leave able to do
  • Everything in the frontend and backend tracks, carried through one product
  • Join the two halves together and keep them honest with each other
  • Decide what to build yourself and what to let AI draft
  • Finish with a complete product you can demonstrate end to end
A team presenting a working product
What you build with
HTML CSS JavaScript React Python Node.js SQL Git
AI in the loop
Cursor Claude GitHub Copilot ChatGPT
Whichever you pick

This part does not change.

01

Taught live, never recorded

Small cohorts in real time. You can ask the question the moment you are stuck, which is the only moment it helps.

02

Nothing assumed

No degree, no prior code, no computer science. The ground floor is taught properly rather than skipped.

03

You finish with something built

Working software you can open, demonstrate and talk through — not a folder of exercises.

04

A certificate anyone can verify

Issued when the work is defended, and checkable by anyone you send it to.

05FAQ

Questions people
actually ask

Still unsure which track? Message us on WhatsApp and a human will answer.