Our story
The reason we started, the work it took, and the people who have carried it further.
Education is the foundation.
Every single person deserves to experience the fruits of education. It is the most fundamental institution there is, and for too many people it remains out of reach. LUNARTECH was founded to change that. There are no shortcuts to real capability, and we do not offer any.
We began by building.
We experimented at the limit of what we were permitted to do. What began as experimentation became a portfolio of products, and the way we built them became the way we operate.
What we build, we extend to others.
We create what was previously impossible and put it in the hands of others. We hold that this is how a better world is built, and we have seen the evidence at first hand.
We took control of the teaching.
Whole departments fell short, and the right material was not being published. We took control of the process: what is taught, how it is taught, and the standard it is held to.
That control let us pursue exceptional talent from the middle, where few institutions look. They perform at the highest level.
The Academy followed.
We started with the Data Science Bootcamp. Our wider course catalogue and the AI Engineering Bootcamp followed. The Academy now operates at this scale.
77+
Offering 77+ specialized programs in AI for learners of all backgrounds.
50M+
Empowering 50 million professionals worldwide with tools to master the digital world.
30K+
Educating 30K+ students worldwide in AI and data science through our programs.
144+
Serving professionals in 144+ countries, shaping global access to premier tech solutions.
What our students build.
In the AI Engineering Bootcamp, students write a language model from scratch, fine-tune a large one and deploy what they have made.
In the Fellowship, they work on real projects, from AI agents to aerospace and healthcare. Their code ships to real users. They leave with deployed work under their own names.
Why they are hired.
Employers hire on evidence. Our students understand their field down to the mathematics, and they have already built in it. They can explain why a system behaves as it does, and they can improve it. Their interviews begin with what they have made. They are often hired immediately.
One learner, starting at 38 as an absolute beginner, received multiple job offers in six months. A chief architect became Head of Data Science and AI at Rack and AI Labs. See further outcomes.
Where they work.
Our students work at frontier companies around the world. They are measured against graduates of the best universities, and they do not fall short. Our fellows alone come from Kenya, Mexico, Armenia, Brazil, Canada and the United States.
The same path is now open.
Education and experimentation built this company. We now make both available to others. We speak the truth. We teach the right way, all the way down to the math. Anyone prepared to do the work can understand, build and create.

