From Mobile Developer
to AI Engineer
AI is coming to every phone.
Your mobile expertise plus AI skills is the future of app development.
AI Tutorials Ignore Mobile.
But AI Needs to Run on Devices.
AI courses assume you know Python. Your Swift, Kotlin, or React Native skills feel irrelevant.
You want to build AI-powered mobile apps but every tutorial starts with Jupyter notebooks.
You wonder if years of mobile development experience even matter in the AI world.
Mobile AI Is the Next Frontier.
The World-Class AI Engineer Cohort
Every major app is adding AI features. On-device ML, Core ML, TensorFlow Lite, and AI-powered cameras need mobile experts who understand AI. Your mobile skills are not outdated. They are the bridge between AI models and billions of users.
Learn Mobile AI
Core ML, TensorFlow Lite, on-device inference
Add Python Basics
Enough to understand models and APIs
Build AI-Powered Apps
Integrate LLMs, vision AI, voice AI into mobile
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.
Mobile AI Engineers Are in High Demand
Frequently Asked Questions
What AI roles suit mobile developers?
Several high-demand paths: (1) Mobile AI Engineer building on-device ML features with Core ML or TensorFlow Lite, (2) AI Product Engineer creating AI-powered mobile experiences, (3) Edge ML Engineer optimizing models for mobile and IoT devices. Your understanding of memory constraints, battery optimization, and user experience directly applies. On-device AI needs engineers who understand mobile performance, not just ML theory.
Do I need to abandon Swift or Kotlin to learn Python?
No. You need both. Learn enough Python to understand how models work and use LLM APIs. But keep your mobile skills sharp. The magic happens when you can train or fine-tune a model in Python, convert it for mobile with Core ML or TensorFlow Lite, and deploy it in a polished iOS or Android app. Most ML engineers cannot do that. You can bridge this gap in 8-12 weeks of focused learning.
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.