Ready to land an AI engineering role in 3 months?

Going back to university works if your goal is academic research. But if you want to land an AI engineering role, you're looking at 2+ years and $60k+ on a curriculum that's 12 to 18 months behind what companies are actually using in production.

Learning on your own works if you have unlimited time and can figure out on your own what matters, what doesn't, and what hiring managers actually want to see. Most engineers who try this spend 6 to 12 months going in circles before realizing they've been learning the wrong things.

Our approach is different because everything we give you is based on what's actually being used in production right now, and what hiring managers are specifically looking for. We map out your personalized path, help you build the projects that matter, and once you're ready, we apply for jobs on your behalf until you have a signed offer. You're not learning and hoping it works out. You're following a system designed around one outcome: you in an AI engineering role.

The program is built around 30 to 60 minutes a day. That's the baseline. If you can carve that out consistently, the system works.

Our most successful students usually put in around 8 hours a week, but that's not the requirement. What matters more than the amount of time is what you're doing with it. Because we've stripped out the research, the guesswork, and the job search grind, every minute you invest moves you closer to an offer.

All live sessions are recorded, and the full library is available on demand, so you can work through things whenever your schedule allows.

You need to be able to program. That's it.

Some Python helps, but if you're coming from another language, you can pick up what you need quickly. We'll guide you through any gaps.

You don't need prior AI or ML experience. You don't need a math background. You don't need a PhD. Some of our most successful students came in with zero AI knowledge and landed roles at companies like L'Oréal within 90 days.

The most important prerequisite is a commitment to follow the system. If you do that, the rest takes care of itself.

Yes. If you complete the program and don't land an AI engineering role within 6 months of us starting to apply on your behalf, you get 100% of your tuition back.

The reason we can offer this is because we've built the shortest, most direct path from where you are now to an AI engineering offer. If you follow it, the outcome is inevitable. You'll get the full details of what qualifies on your strategy session.

This is built for software engineers who want to move into AI engineering roles, whether that's at a new company or by moving into AI internally at their current one.

If you're a backend engineer, full-stack, frontend, mobile, or any other flavor of engineer who's been watching the AI wave and wondering how to get in, this is for you.

It's also a fit if you want the AI title and compensation bump without leaving your current company. Around 30% of engineers we work with take this path and get promoted internally.

That's one of the many tracks we support.

If you like where you work and just want the AI title, the compensation bump, and the positioning that comes with it, we help you identify an internal AI project, build it with senior mentorship, and position it to your manager for a promotion.

We even build the business case and approval packet you hand to your manager. In many cases, companies pay for part or all of the program because they're getting an AI project delivered AND an employee who can lead AI initiatives going forward.

Yes, because we focus on what we call evergreen concepts. The fundamentals like tokenization, embeddings, attention mechanisms, RAG, and fine-tuning aren't going anywhere. They're the foundation of every major model.

On top of that, since we're actively building AI products ourselves, we see what's being used in production and update the curriculum continuously. So you're not just learning what works today, you're learning the mental models that let you understand whatever comes next.

You have access to senior technical mentors who review your code, answer your questions, and make sure you never get stuck. You also get group coaching calls, a community of other engineers going through the same process, and direct support from our curriculum and operations teams.

Then, on the placement side, you get a dedicated Job Search Analyst who applies for roles on your behalf, optimizes your LinkedIn, builds your resume, and preps you for interviews.

This isn't a watch-videos-and-figure-it-out type of program. You have people on your side at every step.

Anup was a backend engineer working a full-time job. After 87 days with us, he landed a $200k+ role at Capital One's Generative AI team.

Julia was a frontend engineer with zero Python and zero AI experience. Within 3 months, she was on the Gen AI team at L'Oréal USA.

DJ liked where he worked but wanted the AI title. We helped him scope an internal project, build it, and leverage it into a promotion. He's now AI Lead managing a team of 3.

Ruby was a Senior Engineer who felt stuck. She used the internal track, built a system that analyzed thousands of resumes for the company's HR team, and leveraged it into a promotion.

The projects students build during the program range from domain-specific AI systems and invoice processing pipelines to calorie-counting apps, legal assistants, and specialized fine-tuned models. But the projects are just the vehicle. The real outcome is the role.