Training built for the new generation of Go-to-Market Engineers and Forward Deployed Engineers.
You won't study technology to collect tools. You'll learn to use technology, data, product and commercial judgment to solve problems that matter. Problems a company is willing to pay for.
We give the full training away free for now. We're not selling a course: we're building an AI-native workforce — people who know how to work with artificial intelligence without fear and with judgment — and connecting them with real opportunities.
New tools show up every day. New AI models. New automations. New platforms promising to make the work faster. But inside most companies the same thing keeps happening:
And an opportunity that looked valuable ends up trapped between meetings, documents and open tasks.
Technology isn't usually what fails. What fails is the bridge between the market and the implementation.
Without waiting for another department to translate for them:
It's over when the customer gets a result.
That professional can work as:
The titles change. The core capability doesn't: turning real market needs into implemented systems that produce value.
That's Revenue Engineering. And that's what this faculty sets out to teach you.
Before you build, you learn to research. To identify valuable problems. To interview customers. To tell an annoyance apart from an urgent need. To read buying signals, friction and opportunity.
Because a technically impressive solution doesn't get far when it solves a problem nobody treats as a priority.
Then you learn how a company finds and converts opportunities. You work with:
Not to send more noise. But to build systems that reach the right accounts, with the right message, at the right time.
Here you learn one of the scarcest capabilities on the market: hearing a business problem and turning it into a clear technical design. You define:
So engineering knows what to do. The customer knows what to expect. And the company cuts errors before anyone starts building.
A good idea isn't a solution yet. It has to connect to real data. It has to integrate with the systems already there. It has to pass tests. It has to be used by people. It has to work under real conditions.
That's why you learn the work of a Forward Deployed Engineer:
Not from theory. From the logic of getting something into production.
Launch isn't the end. It's the moment the truth starts.
You learn to measure usage, impact and room to improve.
Because the real goal isn't shipping software. It's creating an active account that gets results, stays and can grow.
Most careers prepare a person to work inside one function: engineering, sales, marketing, product, customer success. This faculty prepares you to understand how they connect, to spot where information gets lost, and to shrink the distance between what the customer needs, what sales promises and what engineering builds.
This isn't about memorizing a collection of tools. You'll learn to build systems like:
Each one starts from a real problem, not a classroom exercise.
But every project has to start with one question: what problem are we solving, and what result should it produce?
Technology is the mechanism. Not the protagonist.
Shouldn't only be passing exams. It should be that you can present a project and explain, clearly:
When you finish, you shouldn't only have knowledge. You should have evidence that you can take an opportunity and turn it into a working solution.
That's a completely different professional conversation.
Software, APIs, data, integrations, automation and applied artificial intelligence.
Customer discovery, go-to-market, revenue operations, experimentation and offer design.
Scoping, architecture, implementation, QA, launch and iteration.
Projects designed around real commercial and technical situations.
Evidence that shows how you think, what you build and what results you can produce.
The ability to explain a solution in terms of time, money, risk, adoption and impact.
mitHub is the university in reverse: first we find the opportunity, then we teach you exactly what you need to take it. We're training the first generation of this faculty, and what we're after isn't tuition: it's that you come out knowing how to operate, and that the work finds somewhere to be done.
People who know how to work with artificial intelligence. Not defensively, waiting to see what happens. Not delegating everything blindly. But using it with judgment: knowing what to ask a model for, what to check, what to automate and what to decide with their own head.
The market is split in two right now: those who fear AI and are falling behind, and those who use it without judgment and ship work that doesn't survive a review. We train the point where that tool becomes professional power.
AI doesn't replace your judgment. It amplifies what you can build. And that's exactly the profile companies can't find today.
The full training, the projects and the review of your work are free for now. When that changes we'll say it straight — anyone already in stays in.
We're not selling a course. We're training the AI-native workforce we want to see operating these systems — with our customers and with theirs.
Let's be clear about this too: we don't promise a guaranteed job. We promise full training at no cost, a portfolio that proves what you can do, and that we connect you with real opportunities when you're ready. The rest is defended by your work.
You don't need to arrive an expert in every area. But you do need to be willing to learn to think like an engineer, an operator and a problem solver. This field demands curiosity, judgment, technical capability and the willingness to work close to the problem. We don't charge you — but we will demand from you. Seats are limited because every project gets reviewed one by one.
It needs people who can join both. People who can help find an opportunity. Understand it. Design it. Build it. Deploy it. And prove it produced value.
That's the space between Go-to-Market Engineering and Forward Deployed Engineering. And it could become one of the most important professional capabilities of the coming years.
Not because it has a new name. But because it solves an old problem: the distance between what a company sells and what it actually manages to deliver.
The Faculty of Revenue Engineering joins both sides. It teaches you to find problems that matter, turn them into workable solutions, take those solutions to production and help the customer get a real result.
You won't only learn to build. You won't only learn to sell. You'll learn to connect the market with execution.
The full path, every stage and the projects are in the classroom. No form, no tuition, no waiting for a cohort to start: you walk in and you begin.
Enter the classroomP.S. Once you've watched the classes, if you want us to review your project, the button to write us is in there.