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The path to mastery.
AI Ninjas began as an initiative from Neuralpath Dynamics, an AI research company. We built it to teach artificial intelligence the way it is actually practiced: from the mathematics upward, with every concept explained rather than assumed. Every lesson is written by an AI scientist who holds two granted US patents in machine learning.
The founder
The curriculum is written by the person who patented the method.
Most AI courses are assembled by a content team from public material. This one was written, lesson by lesson, by a researcher whose own work is on the public record at the US Patent and Trademark Office.
Syed Yasin has spent more than twenty years in machine learning. He works on the part of the field that asks a harder question than “does the model get it right”. It asks whether the model can say why.
That question is the reason this program exists. His 2015 patent covers a system that reads documents, works out for itself which ideas belong together, and then states its own justification for the connection. No training data, no human labelling, and no asking you to take the answer on trust. His 2013 patent covers the statistical method underneath it.
Both are the same instinct the curriculum is built on: a model you cannot see into is a model you cannot trust. So the program opens it. You are taught the mathematics where it earns its place, you build the thing yourself in Python, and you finish able to explain the machine rather than operate it.
The patents, in full
Two patents, filed and granted in the United States. Each number links to the filing itself, so you can read the claims rather than take our word for the summary.
- US 8,977,540 B2 In force
Self-learning methods for automatically generating a summary of a document, knowledge extraction and contextual mapping
A machine that reads documents, works out which ideas belong together, and states its own justification for why, with no training data and no human labelling.
- US 8,583,419 B2 Lapsed
Latent metonymical analysis and indexing (LMAI)
A statistical method for finding the relationship between words in unstructured text, which classifies on its own rather than being taught from labelled examples.
Because it is the thing you cannot check from the course description. Anyone can write that a curriculum is “expert-led.” The patent numbers above are a public record at the USPTO with a filing date, a grant date and a set of claims attached, so you can decide for yourself whether the person teaching you has built what he is teaching.
The idea
Open the box.
Anyone can prompt a chatbot. Far fewer can say why a model reached the answer it reached, or spot the moment it starts being confidently wrong. That second thing is what we teach.
From information to understanding
We believe a true understanding of AI belongs within every learner's reach.
Information about AI is everywhere. Understanding is rarer. The program takes each concept apart and rebuilds it, so a learner finishes able to explain why a model behaves as it does.
No memorization and no black boxes. Hands-on projects and simplified theory, built so you understand the machine from the inside out rather than learning to operate it.
Who we teach
We turn curiosity into capability.
Our learners range from school students to working professionals changing direction. What they share is curiosity and a willingness to build. Through hands-on projects and theory taught in plain language, they learn to think critically, solve real problems and build working AI systems.
Think critically
Understand why a model reaches its answer, and recognize the moment it starts being confidently wrong.
Solve real problems
Every level ends in something built rather than something watched, on real data with real constraints.
Build real solutions
From a first prediction to a production neural network in Keras and TensorFlow.
AI Ninjas is a course and a community of people building the same things.
Building a movement
We are teaching a generation to be fluent in AI: to build it, to question it, and to use it responsibly.
That community is a working part of the program: every learner joins it, and it is where the question you are working through gets answered.
Our vision
AI literacy should be as fundamental as reading or math.
We are preparing people who can craft technology as readily as they use it. That is the whole purpose: that the next generation understands the systems shaping their lives well enough to build on them and improve them.
AI Ninjas · a Neuralpath Dynamics initiative
Talk to us
Ask us anything. A person answers.
No chatbot, no ticket number and no automated sequence. Tell us what you are weighing up and the person who can answer it replies, within two business days and usually sooner.
See what we mean.
Three full lessons, taken straight out of the program. No sign-up and no card.