Is It Too Late to Become
an AI Engineer?
No. Your professional experience is an advantage, not a handicap.
Career changers often outperform fresh graduates because they understand how real businesses work.
You Feel Like You've Missed the Window.
Everyone in AI Seems to Be 25.
You're 30, 35, maybe 40+. You see AI engineers in their 20s and wonder if you've missed your chance.
You've built a career in something else. Starting over feels like throwing away years of progress.
You worry about competing with new grads who have fresh technical knowledge and lower salary expectations.
Your Experience Is Your Competitive Advantage
The World-Class AI Engineer Cohort
The best AI engineers I know aren't 22-year-old prodigies. They're career changers who combine technical skills with real-world business understanding.
Leverage Your Experience
Your domain knowledge + AI skills = rare and valuable combination
Focus on Implementation
Build production systems, not toy projects. Your maturity shows.
Position Your Story
Your career change is a feature, not a bug
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 Year You Wait, Younger Competition Gets Stronger
Frequently Asked Questions
What advantages do 30+ career changers have in AI?
Several real advantages: (1) You understand how businesses work. Most new grads don't. (2) You can communicate with stakeholders and manage projects. (3) You have domain expertise that's valuable when combined with AI skills. (4) You're more likely to build production-ready systems, not just demos. Companies value engineers who can ship real products.
How can I compete with younger candidates who have CS degrees?
You compete on different strengths. Fresh grads have theoretical knowledge; you have practical experience. They can write algorithms; you can ship products. In interviews, demonstrate maturity: understand requirements, ask good questions, communicate clearly. Many hiring managers prefer experienced professionals who can be productive immediately.
Will I have to accept a junior salary despite my experience?
Not necessarily. Your previous experience has value, especially in roles where AI integrates with business processes. You might start at mid-level compensation that reflects your overall experience, even if your AI-specific experience is new. Negotiate based on the full value you bring, not just AI tenure.
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.
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'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.
Is 40 too old to start in AI engineering?
No. I've seen successful transitions at 40+. The key factors are: (1) Can you commit consistent time to learning? (2) Can you demonstrate skills through a portfolio? (3) Can you position your experience as an asset? Age discrimination exists but is less common in tech than you might fear, especially at companies that value results over demographics.
How do I explain my career change in interviews?
Frame it as intentional evolution, not desperation. 'I spent 10 years in [field], which taught me [valuable skills]. I saw how AI was transforming industries and made a strategic decision to combine my domain expertise with AI implementation skills.' Your career change shows initiative and adaptability. Those are qualities companies want.
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.