Career Change to AI Engineering
Your Complete Guide
Thinking about switching to AI? It's possible from many backgrounds.
Here's what the transition actually looks like.
Big Career Decisions.
Unclear Path Forward.
You're not sure if AI engineering is realistic from your current position.
You don't know how long the transition takes or what it requires.
Making the wrong bet could cost you years and significant money.
Make an Informed Career Decision.
The World-Class AI Engineer Cohort
Career change to AI is absolutely possible, but it requires honest assessment of your starting point, clear understanding of the gap, and a realistic timeline. Let's map out what your specific transition looks like.
Reality Check
Honest assessment of your starting point
Gap Analysis
What you need to learn and build
Transition Plan
Timeline and milestones for your path
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.
The Best Time to Start Was Yesterday
Frequently Asked Questions
Is a career change to AI engineering realistic?
Yes, but difficulty varies by starting point. From software engineering or data roles: very realistic, 3-6 months. From adjacent technical roles (DevOps, QA, product): realistic, 6-12 months. From non-technical backgrounds: possible but requires longer runway, 12-18+ months. The key factors are programming ability, learning capacity, and time availability.
What's the typical path for career changers into AI?
Common paths: 1) Build programming foundation if needed (3-6 months), 2) Learn ML fundamentals and build projects (3-6 months), 3) Specialize in an area matching your target roles (2-3 months), 4) Job search with targeted applications (1-3 months). Total: 6-18 months depending on starting point. Coaching compresses timelines by providing direction and accountability.
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.