Production-ready code
A real project, deployed and running, that you built during the course.
Academy · Who this is for
Built for the people
actually building this stuff.
Academy isn't for everyone, and we don't pretend it is. It's for people who are already building — or seriously trying to build — AI-native software systems.
Who this is for
You're here because one of these is true
You're a developer who wants to build with AI seriously
You've used AI coding tools but want to understand how to architect, deploy, and maintain AI-native systems — not just use autocomplete.
You're a founder who built something with AI tools
You have a working prototype — maybe built with an AI coding platform — but it breaks in ways you can't debug. You need the production knowledge you're missing.
You lead an engineering team going AI-native
Your team needs to upskill on AI integration, agent architecture, and evaluation frameworks. You want structured training, not YouTube rabbit holes.
You're changing careers toward AI development
You have a software background and want to specialise. You need structured, credentialed learning — not a collection of disconnected tutorials.
If you're building production software and you want to do it better with AI — this is for you.
Your learning path
From first module to production deployment
Pick your starting point
Browse the course catalog or take the 3-question quiz to get a course recommendation based on your background and goals.
Work through the curriculum
Self-paced courses, live workshops, or a combination. Every module has a project component — theory without practice isn't our thing.
Build and deploy
Every course ends with a deployed project. You leave with working code in production, not just a certificate.
Join the cohort community
Enrolled students get access to the community channel — active engineers working through the same problems you are.
What you leave with
Outcomes, not credentials
From clients like you
They were in your shoes too
“I wasn't sure whether this was for me — I had some ML background but no production AI experience. Turns out that's exactly the right starting point.”
“I enrolled my whole engineering team. Within 6 weeks they had working knowledge of RAG systems and had deployed their first internal AI tool.”
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