Python Developer to AI Engineer:
Bridge the Skills Gap
You already write Python daily. The language is not your problem.
Learn the AI stack that turns Python skills into $120K+ AI roles.
You Know Python.
But AI Engineering Feels Like a Different World.
You can build Python apps, but LangChain, vector databases, and LLM APIs are unfamiliar territory.
Tutorials teach Python basics you already know, but skip the AI-specific patterns and architectures.
AI job descriptions list tools and frameworks you have never used in production.
Your Python Is the Foundation. Now Add the AI Layer.
The World-Class AI Engineer Cohort
Python developers have the hardest part done. The entire AI ecosystem runs on Python. You do not need to learn a new language. You need to learn LLM APIs, LangChain patterns, vector databases, and AI-specific architectures. That is exactly what we focus on. Follow our [Python developer to AI engineer learning path](/learning-path/) for a step-by-step roadmap.
Learn AI Libraries
Master LangChain, OpenAI API, and embeddings
Build AI Projects
Create RAG systems and AI agents
Land AI Roles
Position as AI engineer, not just Python dev
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.
Python Skills Are Valuable. AI Skills Are Worth More.
Frequently Asked Questions
What is the gap between Python development and AI engineering?
The gap is not the language. It is the AI-specific tools and patterns. Python developers need to learn: LLM APIs (OpenAI, Anthropic, local models), orchestration frameworks (LangChain, LlamaIndex), vector databases (Pinecone, Weaviate, Chroma), embedding models, RAG architectures, and AI agent patterns. These build directly on your Python skills.
Which AI libraries should Python developers learn first?
Start with the modern LLM stack in 2026: OpenAI or Anthropic APIs for LLM access, LangChain for building AI applications, a vector database like Pinecone or Chroma for embeddings, and Pydantic for structured outputs. Skip the traditional ML path unless you specifically want ML engineering roles. Most AI engineering jobs now focus on LLM applications.
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.