Learn AI online. Intern with a US business. Get hired.
A self-paced online course for $300: most people finish in about 12 weeks at 2 hours a day, with no deadline. You learn to build and run AI agents with small LLMs, Hermes, OpenClaw, Jev and agent harnesses, then spend 1 to 3 months as an intern building a real system for a US business. More often than not, the business wants the person who built it to keep building — and that is how interns become AI Implementation Engineers on staff. No coding background needed.
- Week 1: scoped the problem with the business owner
- Week 2: inbox classifier running on a local model
- Week 3: draft replies, mentor review Thursday
You already know AI is where the jobs are. Nobody tells you how to get your first one — or where.
Every job post says “AI experience required”. But no one will give you experience until you have experience.
You have watched the tutorials. You still could not ship a working agent if someone asked you to tomorrow.
Certificates get ignored. “I built this for a company in Texas, and they kept me on” gets a reply.
Learn it. Build it. Then do it for a real business.
Learn the stack, at your pace
Online, self-paced, no deadline. You run a small LLM on your own laptop in the first lesson and add Hermes, OpenClaw, Jev and a harness module by module. Go faster if you have the hours, slower if life gets in the way.
Build your own agent
You pick a task from your own life or work and build an agent that does it end to end. It has to run before you move on — this is what earns you a placement.
Intern with a US business
We assign you a US business with a real problem. You scope it with the owner, build it with your mentor, and hand over a working system. Most owners then ask the obvious question: can you build the next one for us?
Not “introduction to AI”. The stack people are actually building with right now.
Each module ends with something that runs. If you cannot demo it, you have not finished the module.
Run a capable model on your own laptop, offline
Pick the right open model for a task, run it locally, and know when a small model is enough and when it is not.
Build an agent that plans, remembers and uses tools
Set up Hermes agents, give them memory and skills, and run more than one at a time on a small server.
Give your agent hands: email, browser, files, chat
Connect an agent to the apps a business already uses so it can act, not just answer.
Make an agent decide well, not just chat
Use Jev to turn messy inputs into consistent, explainable decisions you can log and review.
Wire it into a loop that finishes real tasks
Planner and sub-agents, retries, checks and hand-offs, so a job gets done even when a step fails.
Deploy for a business and hand it over cleanly
Put it on a server, write the one-page handover, and walk the owner through it on a call.
A real US business. A real problem. Your name on the solution.
The businesses sign up on this site. They bring a problem they actually want solved. You get matched by interest, scope it on a call with the owner, and build it over 1 to 3 months, depending on the project, with a mentor checking your work every week.
The internship is unpaid, and a job at the end is a chance, not a promise. We say both up front. What every trainee takes home is a working project, a reference letter from a US business owner, and a portfolio piece that answers the “do you have experience?” question for good. Some also take home an offer.
Get matched
We pair you with a business whose problem fits what you enjoyed building most in the course.
Scope it with the owner
One call. You write the brief. You learn how to ask a business what it actually needs — a skill most engineers never get.
Build, review, repeat
Weekly check-ins with your mentor and the business. You ship something that works every week, not a big reveal at the end.
Hand over. Get your letter. Maybe get the job.
You walk the owner through the finished agent. They sign your reference letter. And because they have watched you build for months, the question “can you keep going?” is a natural one to ask. More often than not, they ask it.
Businesses do not need another AI course graduate. They need someone who can make AI work in their business.
That person is an AI Implementation Engineer: someone who takes a small business's messy, real processes and builds agents that run them. Most small US businesses cannot hire one — the people who can do this are expensive and rare. After one to three months of watching you do exactly that job for them, you are neither.
What the role looks like
Remote. You own the agents you built and the next ones the business needs: new integrations, fixes when a model or an app changes, small automations that save the owner hours a week.
Why the internship is the interview
A CV gets you ten minutes. The internship gets you months of the owner seeing your work every week. By the end there is nothing left to assess — only a second project waiting.
How interns become staff
The first agent is never the last. Once an owner has one automation working, they see the next five. The person who built the first one is the obvious person to build them — that is how most of our interns get absorbed. It is not guaranteed: a business may lack the budget or the fit. Every internship still ends with a reference letter and a shipped project.
Three kinds of people. One thing in common: they want proof, not promises.
Students
Final year or just graduated. Your classmates have a degree. You will have a degree and a US business that vouches for you.
You leave with: a US reference, and a real shot at your first job before you graduate.Homemakers returning to work
Classes are online and recorded, and the internship is remote on a schedule you agree with the business. A career gap ends with a current project, not an explanation.
You leave with: recent, relevant work on your CV.Working professionals
Live online in the evenings and on weekends. Bring a problem from your own job, or take a US internship and come back to your team as the person who can actually build agents — or don’t come back, if the business makes you an offer.
You leave with: a shipped agent and a story to tell your manager.Things people ask before they apply
I have never written code. Can I do this?
Yes. The first two weeks teach exactly the amount of Python you need, and the tools you use the rest of the course mean you write far less code than you would expect. You need a laptop and about 2 hours a day if you want to finish in 12 weeks — or fewer hours over a longer stretch. There is no deadline.
Is the internship really unpaid?
Yes. The business pays nothing and you are paid nothing. That is what makes it possible for a small US business to hand a real problem to someone with no track record. You get the work, the reference and the portfolio piece.
Is it online or in person?
Everything is online. There is no center and no classroom, so you can join from anywhere with a laptop and a steady connection. Classes are live and recorded. The internship is remote, with calls scheduled around the US time difference.
Can I do it alongside a job or family?
That is who it is built for. The course is self-paced with no time limit, so you set the hours. The internship is remote and runs 1 to 3 months on a schedule you agree with the business; expect it to need more of your week than the course did.
What does it cost?
$300 for the whole program — the course, the mentor and the internship placement. Applying is free. You pay only after you are accepted, and there is nothing else to pay later.
Will I get a job at the end?
There is a real chance, not a guarantee. More often than not, the business you intern with wants the person who built their AI system to keep building integrations and automations for them, and takes the intern on as staff — as their AI Implementation Engineer. We cannot promise a job and we will not. What every trainee leaves with is a working project, a reference letter and a portfolio piece.
How do you choose the businesses?
Every business applies on this site and speaks with us before they are listed. We only accept problems that are real, scoped to 1 to 3 months, and safe to give to a trainee with a mentor.
Get an AI agent built for a problem you actually have, by a trained intern with a mentor, at no cost.
Twelve weeks of learning. A few months of real work. Then an owner asking you to build the next one.
Self-paced and online, so you can start any day. Placements go to trainees whose capstone agent works, in the order they finish.