Home / The programme
One programme. Everything it contains.
This is the single description of what AI Ninjas teaches. A school running it across five years and an adult working through it on evenings are learning the same eight modules, in the same order, to the same standard.
Core subject tracks
Three threads, woven through every module.
Coding & Python
Machine learning concepts programmed in Python — the language the field actually runs on.
Maths for AI
Algebra, linear algebra, statistics and calculus — taught where they earn their place, not skipped.
Computer Vision
Image processing and computer vision models, so the abstract becomes something you can see working.
Earn as you climb
A digitally verifiable certificate at every level and a badge for every module. Stackable, shareable, and yours to keep.
Two to seven minutes
That's a lesson. Short enough for a commute, a lunch break, or the gap before practice.
Real maths, made clear
Vectors, matrices, graph theory and propagation — explained so they click, not skipped so they don't.
The mastery path
You build something that works early, then spend the rest of the path making it sharper — more accurate, more efficient, better understood.
The eight modules
Module by module
A few short lessons pulled straight out of the programme — one to five minutes each, no sign-up and no card.
Your model gets better. Measurably.
Reference dataset · defined taskMost courses give you hours. This one gives you a number that moves.
The accuracy figures shown are results on our own reference dataset, on a defined task. They are here to show the shape of the progression, not to promise a number on your data — and every level teaches you to interrogate the metric as well as improve it.
What's included
Everything, from level one to the capstone.
- All eight modules across the five levels
- A digitally verifiable certificate at every level, plus a badge for every module
- Hands-on projects — you build, you don't just watch
- Learn at your own pace, with nothing to keep up with
- The capstone: a production model in Keras and TensorFlow
- Access to the AI Ninjas community, for when you get stuck
How it is delivered
Online and self-paced. There is no timetable, no scheduled session, and nothing to fall behind on — you start when you like and move at whatever speed your life allows.
Prefer a classroom, with a teacher or a local mentor in the room? That is what the institutions route and our delivery partners exist for. Same eight modules, different room.
The community
Self-paced doesn't have to mean alone.
You learn on your own schedule — no timetable, no sessions to miss, nothing to fall behind. What that usually costs you is someone to ask when the code will not run.
So every learner joins the AI Ninjas community: post the error you are stuck on, compare your approach with people working through the same module, and see what others built from the same brief.
Ask when you're stuck
Post the problem and get answers from people who hit it last week.
Show what you built
Same brief, different solutions. Seeing both is where the learning compounds.
Search before you ask
The archive grows with every learner. Most questions already have an answer.
Find people at your level
Others are on the exact module you're on, right now.
Before you start
What you need to begin.
Deliberately minimal, and built around tools you very likely already have.
Hardware
- A laptop — a standard one is fine
- No high-end specification required
- No graphics card needed
- An internet connection
Software — no licensing cost
- Python, free to download
- Jupyter Notebook, free via Anaconda
- Setup guide and installer walkthrough provided
- Silent-install packages available for IT teams
You
- Comfortable navigating folders and files
- Basic typing and copy/paste
- No prior coding or AI knowledge needed
- Curiosity is the only real prerequisite
About the programme
Do I need to know Python?
No. Module 1 starts at your first line of code, and the mathematics is taught alongside it rather than assumed.
Is this just videos?
No. Every level ends in something you built, and the credential is issued for the build rather than for watching.
How long does it take?
A school spreads it over five academic years. An individual sets their own pace — faster is entirely allowed, and nothing expires.
Are there live classes?
Not online. The programme is self-paced, and questions go to the community rather than a timetabled session. In a school, a teacher delivers it in the room.
What if I get stuck?
Post it in the community. Other learners are working through the same modules, and most problems have already been solved by someone.
Is this designed for children?
The levelled structure came from teaching younger learners and stayed because it works on everyone. The content is real machine learning — vectors, matrices, propagation, TensorFlow.
Start where you are.
Or watch a lesson first — a few minutes, no sign-up.