A structured 4-phase journey — from zero to a live, deployed AI product
Every tool taught in context — through real product builds, not isolated exercises
| Days | Format | Activities | Time |
|---|---|---|---|
| Sat & Sun | LIVE | Instructor-led coding, guided builds, hackathon sprints, guest speakers. | 6 hrs |
| Mon – Wed | LMS | HD video lessons, concept check quizzes, coding labs, community challenges. | 3–4 hrs |
| Thu – Fri | Practice | Peer code reviews, mentor office hours, deep-dive assignments, weekend prep. | 2–3 hrs |
| Outcome | Details |
|---|---|
| Dual Certification | Kayalas Academy Course Completion Certificate + Guided Project Internship Certificate. |
| GitHub Portfolio | 8+ real-world AI projects demonstrating full-stack and AI engineering skills. |
| Career Support | LinkedIn badge, verified skills endorsement, Alumni Network & job placement support. |
| Job-Ready | Apply as a junior developer, AI product builder, or freelance AI consultant on day one. |
| Others | Kayalas Academy |
|---|---|
| Tools taught in isolation | Tools integrated into real product workflows |
| Heavy theory, minimal shipping | Build-first — you ship from week one |
| Generic, outdated projects | Industry-relevant, portfolio-worthy capstones |
| No career support | Full acceleration: resume, LinkedIn, interviews, jobs |
Join the 2026 Edition. No prior AI or ML experience required. A laptop with 8GB+ RAM is all you need.