AI Mastery: Vibe Coding & AI Agents — a free 4-week live cohort. Learn to build real software with AI tools, finish with a capstone you can show employers, and pay nothing. Ever.
Real capstones from Batch 17 — not samples, not mockups. Each one started as a plain-language prompt
Proof, not promises
Batch 17 capstone
Built by Farah Misbah
GumShuda
A bilingual AI-powered platform for reporting missing children and generating real-time, community-driven alerts to speed up recovery efforts.
Batch 17 capstone
Built by Muhammad Ibrar
BookEase
A unified scheduling platform that eliminates double-bookings with role-based workflows, presets, and real-time booking status.
Batch 19
Claim your seat
Your project here
This card is waiting for a Batch 19 capstone. If you can describe an idea, you can build it here.
What past batches say
No degree required, no prior coding experience, no fees. Seats are limited, so admission is merit-based — a short test keeps the cohort serious.
Alumni reviews
Ramsha Rashid
COMSATS University, Islamabad
Data Analytics track
Batch A
“I’d been trying to break into data analytics for over a year before joining. The batch-based structure meant I always had people to learn alongside and compare notes with. I’d tell anyone considering this program to just go for it.”
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Virtual Assistant track · Batch 8 · Nov 2024
“The live format kept me accountable. Recordings on Classroom meant I never fell behind, even with my day job.”
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AI Mastery · Batch 17 · Jun 2026
“My capstone became my portfolio. I showed it in an interview two weeks after the cohort ended — and got the offer.”
5-minute form · No CV required · Test link sent by email5-minute form ·
50 seats. Free forever. Applications close when the cohort fills — no fake countdowns, no pressure tactics. When the seats are gone, the next batch opens.
Batch 19 is open.
Applications open · 50 seats this batch
Share Your Success Story
Tell us about your experience — we review every submission before it goes live.
Reserve your seat
Limited seats — secure your spot for the upcoming cohort.