Enter Campus
Coding · AI · integration

Learn to code.
With AI at the keyboard.

An academy for the AI era: fundamentals first, then AI pair-programming, then wiring AI into real systems. Classes run on our own self-hosted campus, and the models you practice with run on our own GPUs.

Enter the Campus Curriculum
Lesson trace lab // live
prompt"Reverse a linked list"
modelQwen3-8B (self-hosted)
output81 tokens of Python
gen_time1.2 s
speed69 tok/s
The same self-hosted model students practice with. Measured 2026-08.
1.2 s
Prompt to working linked-list code at 69 tok/s on our own GPU, measured 2026-08.
Open edX
The campus is an Open edX we host and run ourselves, not a rented platform.
A real lab
Behind the academy sits real self-hosted infrastructure: GPUs, servers, and live services you learn on.
Curriculum

Six tracks, fundamentals to integration

AI writes code fast. The curriculum teaches what makes that useful: knowing enough to check it, and knowing how to wire it into technology that already exists.

01

Programming Foundations

Python, JavaScript, Git, and the terminal. The fundamentals that make AI output checkable instead of magical.

02

AI Pair-Programming

Prompt-driven development with a copilot: when to trust it, how to verify it, and how to debug what it wrote.

03

Building AI Features

Wire language models into applications: APIs, function calling, structured output, and local models via llama.cpp.

04

AI Integration Engineering

Put AI into systems that already run: guardrails, fallbacks, audit trails, and the plumbing between model and product.

05

Data & Databases for AI

Schemas, embeddings, and vector stores. How retrieval works, and how to feed a model data it can actually use.

06

Ship & Operate

Deploy, monitor, and self-host what you built: containers, reverse proxies, backups, and keeping it up.

Learning paths

Three paths through the curriculum

Each path is written up as a syllabus datasheet: what you build, what you use, what you leave with.

ACA-P1rev 2026-08
Path 1 · Foundations

Code From Zero

For beginners: learn programming with an AI copilot from day one, and learn to check its work.

Tracks01 + 02
FormatSelf-paced on the campus
ToolsPython, Git, self-hosted LLM
You buildPortfolio of working projects
EnrollmentOpens on the campus
start withFoundations Visit campus
ACA-P2rev 2026-08
Path 2 · Builder

Build With AI

For coders: build applications where a language model is a feature, not a novelty.

Tracks03 + 05
FormatProject-based, on the campus
ToolsAPIs, llama.cpp, vector stores
You buildAn AI-backed app, end to end
EnrollmentOpens on the campus
thenBuilder Visit campus
ACA-P3rev 2026-08
Path 3 · Integration

AI Into Production

For working developers and teams: integrate AI into technology that already has users.

Tracks04 + 06
FormatCohort or team training
ToolsGuardrails, audit, deployment
You buildAn AI feature shipped safely
PricingTeam quote after scoping call
for teamsIntegration Scope it
Start

Two ways in

Track A · Learners

Enter the campus

The academy runs on our self-hosted Open edX. Make an account and start where you are.

Enter the campus
Track B · Teams

Train your team

Integration training for teams shipping AI into existing products. One call to scope the cohort.

Book a call