Two intensive tracks — AI Full Stack and Advanced Interview Prep. Learn algorithms, system design, and real engineering from first principles. Live sessions, cohort-based, 15 students max.
Choose your track
Start with one track or enroll in both. Payment is by bank transfer only — one-time or installment.
Full-stack web development with AI integration. Build production apps with Next.js, Python, and modern AI APIs from day one.
Advanced 12-week MAANG interview bootcamp. Algorithms, system design, and behavioral prep to pass Google, Meta, Amazon, and Stripe.
Both tracks — bundle discount
Enroll in AI Full Stack + Codifiz Pro together and save $1,500. One login, separate cohorts.
Payment
We accept ACH bank transfer and Zelle. Access unlocks within 24 hours of payment confirmation.
Full amount upfront
Pay the full course fee in one transfer. Immediate access once confirmed (within 24h).
Split across 3–4 payments
Pay in equal parts. Access continues as long as payments are current. No interest.
How it works
FAQ
How do payments work?
We accept ACH bank transfer and Zelle — no card required. You'll see exact account details after choosing your track. Access is activated within 24 hours of payment confirmation.
What is the installment plan?
For FSP2026: $500 registration + $1,000/month × 4. For CP2026: 3 equal weekly installments. No interest, no credit check.
What is the deferred payment?
FSP2026 installment students pay an additional $3,000 if they land a salaried software engineering role paying $45K+ within 10 months of graduating. Upfront students and CP2026 students have no deferred payment.
What happens if I miss a payment?
Your access is paused after a 3-day grace window. Your content is never deleted. Once payment is confirmed, access is restored immediately.
Is Codifiz Pro suitable for complete beginners?
Codifiz Pro assumes you can write basic code in any language. If you're completely new to programming, start with AI Full Stack first — it has zero prerequisites.
How many students per cohort?
Maximum 15 students per cohort. This keeps the instructor-to-student ratio tight and ensures real feedback on your work.