Codecademy AI Alternative:
From Basics to Job-Ready.
Browser exercises teach syntax, not skills. Personalized coaching
builds on what you know and gets you interview-ready.
Why Codecademy Falls Short
for AI Engineering Careers.
Surface-level content covers basics but lacks depth. You learn Python syntax, not production AI systems. The gap between tutorial exercises and real engineering work is massive.
Generic curriculum treats everyone the same. If you already code, you waste weeks on fundamentals. If you need specific skills, the fixed path cannot adapt.
No job-focused guidance. Completing courses does not prepare you for interviews, portfolio projects, or salary negotiations. You finish lessons but stay stuck in your current role.
Personalized Learning Based on Your Skills.
The World-Class AI Engineer Cohort
Instead of following a fixed curriculum designed for complete beginners, work with a coach who evaluates your existing abilities and builds a tailored path. Skip what you know. Focus on what matters for the roles you want.
Skills Evaluation
Map your current abilities and identify gaps
Custom Curriculum
Learn only what moves you forward
Job Preparation
Portfolio, interviews, and career strategy
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.
Basic Tutorials Will Not Land You an AI Role.
Frequently Asked Questions
Why is Codecademy not enough for an AI engineering career?
Codecademy excels at teaching programming fundamentals through interactive exercises. But AI engineering requires depth that browser-based tutorials cannot provide. You need to understand system design, work with real datasets, deploy models to production, and build projects that demonstrate practical skills. Codecademy stops at syntax. The jump from completing their AI courses to passing AI interviews is enormous. Most learners finish Codecademy feeling like they learned something but unable to build anything substantial or explain their skills to interviewers.
How does coaching compare to Codecademy for AI learning?
Codecademy gives everyone the same curriculum regardless of background. A software engineer with 5 years of Python experience follows the same path as a complete beginner. Coaching starts by assessing what you already know. If you can code, we skip basics and focus on AI-specific skills. If you need fundamentals, we build them. The curriculum adapts to you. Additionally, coaching provides accountability, feedback on your actual code, portfolio project guidance, and interview preparation. Codecademy provides exercises with auto-graded answers.
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.