PhD in ML | Google AI Accelerator Alum
Exited AI Founder | CEO at Krybe


Stop waiting on engineering. Ship your own AI product in 6 weeks.
In six weeks, you build and ship one real AI product, no code required. You do not write code. You learn to direct it, verify it, and ship it, the skill that outlasts every tool.
A live full stack app, built from a brief, not a spec nobody reads
Real data and user login, wired up without writing it by hand
A feature you direct an AI coder to build for you
Automation and a working agent, connected to tools you already use
Evals with TRACE, so you can prove the thing is actually good
You will work with Lovable, Supabase, Claude Code, n8n, and Hermes. Most students arrive with the same problem: the idea was there, but shipping it meant waiting on engineering. You leave with a product you actually shipped.
Build and ship a real product with Lovable, Supabase, Claude Code, n8n, and Hermes, then evaluate it with TRACE, across 4 hands-on weeks.
Go from a written brief to a live web app with a real URL in one session
Connect real data and user login with Supabase, without writing it by hand
Learn what full-stack actually means, so you can direct the build with confidence
Brief a coding agent for a real change and check it did not break what works
Extend your own app with Claude Code, a targeted feature shipped live
Read and safely change a codebase you did not write, without fear
Build multi-step automations wired to real triggers with n8n
Configure a persistent agent with Hermes and connect it to Slack or WhatsApp
Know the real difference between a workflow and an agent, and when to use which
Run real error analysis on your product, the step most people skip
Own the front of the eval loop as a PM, founder, or operator, not a spectator
Know what good evals look like, so you can hold a team to the bar
Build one capstone across four weekly increments, each one a real ship
Finish it in a two-week build sprint, with build-support sessions
Show it at a live Demo Day, alongside the engineering cohort
Speak the language of agents, evals, and automation with real fluency
Make build-or-buy and tool calls from understanding, not guesswork
Leave able to scope, brief, and judge an AI product end to end
The PM who wants to ship, not just spec. You are done writing requirements and waiting on a backlog. You want to build it yourself.
The founder who needs a product, now. No technical co-founder, no budget for devs yet. You want a live product in front of users in weeks.
The operator automating real work. You see the manual processes everywhere, and you want to automate them.
The one thing you really need. If you have a product or a process in mind and the drive to ship it, you are ready to start.
This is a no-code track. You will direct AI tools to build, not write code by hand. Comfort using everyday software is all you need.
We use Lovable, Supabase, Claude Code, n8n, and Hermes. Most have free or low-cost tiers. The pre-check session gets your accounts working so no live time is lost.
Live sessions
Learn directly from Dr. Aki Wijesundara & Manu Jayawardana in a real-time, interactive format.
Live build sessions
Four live sessions across four weeks: three hands-on Thursday sessions where you build and ship your product with Manu and Aki, plus a Thursday Evals masterclass in week four. Every session ends with something live and shippable.
Evals masterclass
Taught around TRACE, the error-analysis method serious teams use. You learn to evaluate your product like a leader and prove it is actually good, not just good-looking, shared live with the engineering cohort.
A 2-week build sprint and live Demo Day
After the teaching weeks, a two-week sprint with build-support sessions, ending in a live Demo Day where you ship your product and present it, opt-in, alongside the full cohort. The deadline that gets you to a finished product.
One product, carried the whole way
Every weekly assignment is the next piece of one capstone product, so by the sprint it is most of the way built. You leave with a live URL, not a folder of disconnected exercises.
Lifetime access
Revisit every lesson, recording, and template whenever you need. Your access does not expire, and you can rejoin a future cohort to refresh the material as the tools change.
Community of peers
Join a cohort of PMs, founders, and operators building in parallel. Stay accountable, swap what works, and build alongside people shipping the same kind of product.
Office hours and build support
Open office hours across the cohort for feedback on your build, plus dedicated build-support sessions during the two-week sprint when you are finishing your product.
Every template and brief, yours forever
Keep every brief, automation, and agent template from the course. Reuse them on your own products, team, or company without starting from scratch.
Certificate of completion
Earn the Agentic AI Builder's certificate to share with employers and add to LinkedIn. The real proof, though, is the live product you leave with.
Maven Guarantee
Your purchase is backed by the Maven Guarantee, Maven's satisfaction guarantee, so you are covered if the course is not the right fit early on.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
9 live sessions • 32 lessons
Jul
26
Jul
20
Jul
27
Jul
30
Live sessions
2 hrs / week
Four hands-on Thursday sessions where you build and ship your product with Manu and Aki, the app, the feature, the automation, and the agent, with live feedback. You leave each session with something live.
Mon, Jul 20
3:00 PM—4:30 PM (UTC)
Sun, Jul 26
5:30 PM—6:30 PM (UTC)
Mon, Jul 27
3:00 PM—4:30 PM (UTC)
Projects
2 hrs / week
About 2 hours a week. Four mini-builds that each ship a real, demonstrable piece and ladder into one product capstone, so the work compounds across the course instead of piling up as disconnected exercises.
Async content
2 hrs / week
About 1 hour a week. Short structured lessons and marked Deep Dive modules that reinforce each week, from automation patterns to reading a codebase, to review at your own pace before the live build.

Kavi T.
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Dr. Elizabeth Creighton

Alissa Valentine

Aamir Faaiz
Learn from Aki & Manu. Previous students are from top companies like Google, Meta & OpenAI.
Learning AI Made Simple | Student Feedback on Our AI Engineering Bootcamp | TAI
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AI App Projects Built by Our Students | Real Projects from AI Builder Bootcamp | TAI
AI App Projects Built by Our Students | Real Projects from AI Builder Bootcamp | TAI
AI App Projects Built by Our Students | Real Projects from AI Builder Bootcamp | TAI




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