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The Pathway

From first lesson to a career.

The skills employers find hardest to hire for, taught as one connected skill set, all the way to the top of the industry.

The skills

We teach the three skills employers find hardest to hire for: AI engineering, cloud engineering and data engineering. We teach them as one connected skill set, not three separate courses. What you learn in one feeds what you build in the next.

These are the difficult skills. That is the point. While most people learn surface tools, you learn the machinery underneath, and that is what makes you stand out.

How the learning works

You learn by building. And the first ladder of that learning: every lesson note becomes a movie-style video, so you watch the lesson happen like a film before you touch it yourself. Seeing the work done builds a strong imagination for it, and a strong imagination removes the abstractness and the theory. You are no longer learning about a subject. You are picturing the real work, then doing it with your own hands, one small step at a time. No step assumes you already know. Nothing is a wall of theory.

Where it leads

01CertificationsOur courses prepare you for real industry certification exams, step by step, with practice mocks before the real thing.
02A portfolio on GitHubEvery project you build is saved to your own GitHub page. That page is public proof of your work. Employers can open it and see what you can do, not just what a certificate says.
03Career opportunitiesA credential, plus a portfolio, plus real project experience. That combination is what gets young people hired.
04The top of the path: the forward deployed engineerAn engineer who goes into a real company, learns how the work actually runs, and builds AI that fits it. It is one of the best paid AI roles today, and our pathway is built to carry a learner from first lesson to that level.

The money

The role at the top of this pathway is one of the best paid jobs in AI. Real 2026 numbers, not promises:

Anthropic, the company behind Claude, pays its forward deployed engineers a base salary of $280,000 to $320,000 a year, before shares. That is roughly a quarter of a million pounds.
OpenAI, the makers of ChatGPT, advertise $185,000 to $300,000 a year, plus shares.
Palantir, the company that made this role famous, typically pays its forward deployed engineers around $215,000, with experienced ones on $205,000 to $300,000.
Across the industry, a mid-level forward deployed engineer's total pay averages $385,000 a year. Senior levels pass $610,000, and the top level passes $1 million.

People are paid like this because very few people can do this work. That is the opportunity sitting in front of you: become one of the few.

Work as a consultant

The path does not end at a job offer. Members who reach the top can work as forward deployed engineer consultants: going into real companies, learning how their work runs, and leading the development of the AI they need. You can lead projects, run them as paid engagements, and build a name as the person companies call when they need this done.

Get rewarded for what you build

When the community builds and ships a project for a client, the members who built and shipped it are rewarded for that work. You are not paid once and forgotten. As the project keeps earning for the community, the people who built it keep earning credit and reward for it. Your first paid client work can come while you are still learning.

The promise

A future where a young person's career path is a matter of choice, not a skills deficit. Any young person who wants one of these careers should be able to look at the path, start on it, and finish it.

Start the first ladderThe professional pathway, rung by rungAbout the communityThe prospectus