From C# and .NET Developer
to AI Engineer in 8 Weeks
You build enterprise systems, design APIs, and deploy to Azure every day.
That production experience is exactly what AI engineering teams want.
You Ship Enterprise .NET in Production.
You Just Need the AI Layer.
Most AI tutorials assume Python, so your years of C# experience feel like they count for nothing.
AI engineers earn 20 to 40 percent more than .NET developers, but you cannot see the bridge from where you stand.
You keep starting Python and ML courses, then stall because nothing connects to the production work you already know how to do.
Your .NET Background Is a Head Start, Not a Handicap.
The World-Class AI Engineer Cohort
AI engineering is mostly production engineering, and you already do that for a living. You understand dependency injection, async, clean architecture, CI/CD, and shipping to Azure. We add the AI layer on top of those strengths instead of making you start over as a beginner.
Map What Transfers
Identify which of your C# and .NET skills carry straight into AI work.
Add the AI Layer
Learn LLM APIs, prompt engineering, and vector stores without a math detour.
Ship and Position
Build a production AI system and frame your enterprise experience for interviews.
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.
Your Enterprise .NET Experience Is the Edge Most Applicants Lack
Frequently Asked Questions
Can a C# and .NET developer become an AI engineer?
Yes, and you are better positioned than most. AI engineering is largely about building reliable production systems around models: APIs, data pipelines, deployment, monitoring, and scaling. C# and .NET developers already do this every day, often at enterprise scale on Azure. The AI specific skills are the smaller, faster part to add on top of the engineering foundation you already have.
Do I have to abandon C# and learn Python to work in AI?
You should be comfortable reading and writing some Python, since most AI libraries and examples use it, but you do not abandon your .NET background. Plenty of AI work happens in the .NET ecosystem with Semantic Kernel and Azure OpenAI, and your architecture, async, and deployment instincts transfer directly. You are adding a second language for a specific layer, not throwing away a decade of experience.
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.
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.
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'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.
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.