Fastest Path to AI Job-Ready
No Fluff. No Detours.
Stop drowning in tutorials and conflicting advice.
Learn exactly what you need—and nothing you don't.
Most People Waste Months on the Wrong Things.
Analysis paralysis. Too many courses, frameworks, and opinions—where do you even start?
No clear path. Random tutorials don't connect into a coherent, job-ready skill set.
Time slipping away. Every week spent on non-essentials is a week not earning an AI salary.
A Direct Line to AI Employment.
The World-Class AI Engineer Cohort
The fastest path isn't about cramming more content. It's about ruthless prioritization—learning only what hiring managers actually care about, building proof that lands interviews, and getting expert feedback that prevents costly detours.
Define Your Target
Specific role, specific skills required
Build Proof Fast
Projects that demonstrate, not just practice
Accelerate with Coaching
Skip months of trial and error
Meet Your Mentor
My aim has been the same for years: become a world-class AI engineer. Every career move I've made has been measured against that.
I started as a software tester on a $500/month internship in the Netherlands. Taught myself to code, learned to ship real systems, and worked my way to Senior Engineer at GitHub.
Then I left GitHub. I joined an AI research lab as Member of Technical Staff, where I currently build products for secure AI monitoring.
The cohort draws directly from my real experience so you can make progress fast.
I run this special cohort with only a few people because hands-on work with me is what it takes to bring you to become a world-class AI engineer.
Real Results
Vittor
AI Engineer
Built and deployed his portfolio piece, then landed the AI role
"The coaching played a huge part in my success. I focused on AI fundamentals, the certification path, and soft skills like professional writing. Having access to expert guidance gave me confidence during interviews and helped me feel I was on the right path.
I built my own platform (simple but functional) and deployed it on AWS. I used it in my portfolio and showcased it during interviews. The way complex topics were explained, especially the restaurant analogy for AI systems, really stuck with me. Focusing on doing the basics well was absolutely essential."
What You Will Get
8 Weekly Tuesday Sessions
3 hours each for 24 live hours total.
Project Scoping at Kickoff
We set the scope of what you'll ship and the milestones to get there before the live sessions start.
Code Reviews
Reviews of your code from Zen during the cohort.
Lifetime Demo Access
Every architecture demo is recorded and yours to keep.
Demo Day
You present what you built and get feedback from Zen, with a recording you can use in your portfolio.
12 Months Community Access
Included with the cohort.
Every Week You Wait Is a Week Behind
Frequently Asked Questions
How fast can I realistically become AI job-ready?
For developers with solid Python skills, 8-12 weeks of focused effort is realistic. For those starting from scratch, 4-6 months with daily practice. The key variable isn't time—it's focus. Most people spend 6+ months because they're learning scattered topics without a clear target role. With a precise roadmap hitting only what matters, you compress the timeline dramatically. In 2026, the path is clearer than ever.
What can I skip to get to AI job-ready faster?
Skip: deep theoretical ML math (unless targeting research), building models from scratch (use existing APIs/frameworks), every new tool that drops (master fundamentals first), perfecting one project forever (ship multiple smaller ones). Focus on: prompt engineering and LLM integration, RAG systems and vector databases, one agent framework deeply, production-quality code and deployment basics. This is the 80/20 of AI engineering in 2026.
How does coaching accelerate the path to job-ready?
Coaching compresses your timeline in three ways: 1) Immediate feedback prevents you from going down rabbit holes for weeks before realizing it's not relevant, 2) A clear weekly roadmap eliminates decision fatigue about what to learn next, 3) Portfolio review from someone who's hired AI engineers ensures you're building proof that actually impresses. Most self-learners waste 30-50% of their time on low-value activities. Coaching eliminates that waste.
How much time will this take?
You'll spend 3 hours every Tuesday in the live session and roughly 3 hours of async work in between, for 8 weeks. The Tuesday session time is fixed.
I've signed up for cohorts before and dropped out. How is this different?
It probably isn't, and you should hold the money. Most cohort dropouts are people who couldn't articulate what they were shipping when they signed up. That's why the consult exists, and why I turn down most applications. If we get on the call and you can't tell me what you'll have shipped at the end of week 8, I'll point you to the AI Native Engineer community until you can.
I'm not pivoting careers. I want to build a product. Does this still work?
Yes, the cohort works for people shipping their first serious AI system whether the goal is to land a senior role or to launch a product. The shipped system serves both equally well.
Do I need prior AI experience?
You need to be able to code in Python or TypeScript. Complete beginners can follow the classroom they get access to before the cohort sessions to come in well-prepared.
What does it cost?
It's a four-figure investment that we discuss during the 30-minute consult, alongside whether the cohort is the right fit for your project.
Can I do this while working full-time?
Yes, most attendees do. The live session is one Tuesday a week and the async work fits around your existing schedule, as long as you can carve out roughly 6 hours a week.
I accept those who have the highest chance of success.
In the 30-minute call we discuss your goals and whether you are ready for the program.