AI Innovation Studio
Build Real AI. Solve Real Problems.Learn at your own pace. Enter anytime. Grow with your project.
Unlike traditional programs, AI Innovation Studio allows you to enter, pause, resume, or continue based on your goals and project progress.
No fixed path.
No one-size-fits-all curriculum.
Your learning journey grows together with your project.
Four milestones, one growing organism
Tech + Business
Every technical session pairs with a business mirror: price, position, and sell the exact agent you're building.
Give the LLM a Mouth
API fundamentals, system prompts, streaming, conversation state, and your first eval suite.
Give the LLM Hands
Tool schemas, the agent loop, file & shell tools — and the safety of letting a model act.
Build the Full Harness
Permissions, hooks, subagents, context compaction, skills, memory — the mechanisms behind real coding agents.
Ship It to the World
FastAPI service, Docker, Railway deploy, prompt-injection hardening, cost control — then Demo Day.
Start with a $50 application fee.
Start by completing the application. After submitting it, you'll pay the $50 application fee to reserve your review slot.
- 48 hours live instruction — 16 sessions × 3 hours, weekly
- 4 graded milestone builds with machine-run eval suites
- Peer + instructor code review at every milestone
- Demo Day in front of invited reviewers & hiring partners
- Business twin track — pricing, ROI cases, GTM for your agent
30 seats per cohort. Applications are reviewed on a rolling basis.
The $50 fee is an application fee, not tuition. Full tuition details are shared during review.
Tell us what you want to build.
Submit the application first. After the form is saved, you'll continue to the $50 application fee checkout.
Questions
Do I need machine learning experience?
No. We use models; we don't train them. You need intermediate Python, basic Git, and about five hours a week outside class.
What if I can't attend a live session?
Sessions are recorded for enrolled students. Milestone reviews and Demo Day are live-participation, so plan around those four dates.
What does the course cost beyond the application fee?
An LLM API key (roughly $5–15/month of usage, budget-capped in class exercises) and a free-tier Railway account for deployment. Full cohort tuition details are shared during review.
Is there a refund policy?
Full refund before session 2, prorated through week 4, none after milestone 1 grading. Email us and we'll process it through Stripe.
What exactly do I walk away with?
A public repo with four months of commits, a deployed agent on a live URL, passing eval results for four milestones, a Demo Day recording, and a business case for the product you built.