From Web Developer
to AI Engineer
You already build for the web.
Now add AI features users actually want.
AI Native Engineer Community Access
Python and ML Feel Like a Wall.
But AI Needs Web Skills Too.
AI tutorials assume Python expertise, making you feel like starting from zero.
ML and neural networks sound intimidating when you just want to build AI features.
You are stuck in tutorial hell, unsure which AI skills actually matter for web devs.
Build AI Into Web Apps You Already Know.
The AI Career Accelerator
Modern AI engineering is about integrating LLMs into real products, not training models. Your JavaScript, API knowledge, and web architecture skills transfer directly. Learn to add AI features to the apps you already build.
Start with AI APIs
Connect OpenAI, Anthropic, and other LLMs using JavaScript SDKs
Learn Practical Python
Just enough for backends and AI tooling, not deep ML
Ship AI-Powered Features
Build chatbots, assistants, and smart search for real users
Meet Your Mentor
When I started in tech, I was based in the Netherlands with no connections and only thousands of video game hours under my belt. Not exactly the ideal starting point.
My first tech job was software tester. One of the most junior roles you can start with. I was just happy someone took a chance on me.
I kept learning. Kept pivoting. But what actually accelerated my career wasn't more certifications or more code. It was learning to solve problems that matter and proving beyond a doubt that what I built solved real problems. That's the skill that stays future-proof, even with AI.
I've since worked remotely for international software companies throughout my career. Proof that the high-paid remote path is possible for anyone with the right skills and motivation. In the end, I went from a $500/month internship to 6 figures as a Senior AI Engineer at GitHub.
Now I teach over 22,000 engineers on YouTube. Becoming an AI-Native Engineer is a system I lived through and offer to you today.
Real Results
Vittor
AI Engineer
Landed his first AI Engineering role in 3 months
"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
Personalized Roadmap & Career Strategy
A custom plan tailored to your background, goals, and timeline. No generic advice.
Weekly 1:1 Coaching Calls
Direct access to Zen for guidance, project feedback, and answers to your questions.
Portfolio-Ready AI Projects
Build production-grade AI applications to showcase to employers. Work that gets you hired.
Interview Prep & Mock Interviews
Practice technical and behavioral interviews. Learn what hiring managers look for.
Resume & LinkedIn Optimization
Transform your online presence to attract recruiters. Stand out from other applicants.
Community Career Support
Join the AI Native Engineer community. Not seeing results yet? You stay and keep going. We're with you through the ups and downs.
Web Devs Who Ship AI Features Are in Demand
Every month you delay can cost you thousands in lost earning potential. While you're watching tutorials, others are landing $120K+ AI Engineering roles.
I can only work with a limited number of 1:1 clients at a time to ensure you get the personalized attention you deserve.
Frequently Asked Questions
What AI roles can web developers pursue?
Web developers can target several AI roles: (1) AI Product Engineer - build AI-powered web applications end-to-end, (2) Full-Stack AI Developer - own both the AI backend and web frontend, (3) AI Integration Specialist - add AI features to existing web products. Your experience with REST APIs, WebSockets, and state management applies directly to LLM integration. Companies need developers who can ship AI features in production web apps, not just ML researchers.
How much Python do I need as a web developer?
Less than you think. Many AI APIs have JavaScript and TypeScript SDKs. For full-stack AI roles, learn enough Python to: call LLM APIs, work with vector databases, and build simple FastAPI backends. Skip deep learning frameworks initially. Focus on: Python basics (2-3 weeks), FastAPI for API development, and LangChain for building AI agents. Your JavaScript patterns like async/await and promises translate directly.
Do I need prior AI experience?
Not necessarily. While some programming experience is helpful, many of my clients have successfully transitioned from web development, data science, or other technical backgrounds. We'll assess your current skills during our strategy call and create a personalized plan that meets you where you are.
How much time do I need to commit?
Most clients invest 10-15 hours per week, but this can be flexible based on your schedule. We'll have weekly 1:1 calls plus time for you to work on projects and learning. The key is consistency. Regular, focused effort beats occasional marathons.
How is this different from online courses?
Online courses give you content. 1:1 coaching gives you a personalized roadmap, direct feedback on your work, career strategy, interview prep, and accountability. You get answers to your specific questions and guidance tailored to your unique situation instead of generic advice meant for everyone.
What if I don't land interviews in 90 days?
You become a member of the AI Native Engineer community, and you stay and keep going. Career transitions take different amounts of time for everyone, and I'm not going to abandon you if things take longer. You get ongoing support through good times and bad.
What's the investment for 1:1 coaching?
Investment details are discussed during the 30-minute strategy call, where we'll assess your goals and create a custom plan. The program is designed to pay for itself quickly through your increased salary. Most AI engineers see a 20-50% pay increase.
Can I do this while working full-time?
Absolutely. Most of my clients work full-time and make steady progress. We'll schedule calls at times that work for you and create a realistic plan that fits your schedule. Consistency matters more than intensity.
Ready to Land Your AI Role?
Stop watching others succeed. Start building your AI career today.
30-minute strategy call • Limited spots available