Twelve months. Six months of training across all four pillars — full-stack, applied ML, DevOps and modern AI. Six months of senior internship where you own real software and lead juniors. You leave with a year of deployed work and direct hiring intros.
Daily live coding with the libraries, frameworks and platforms that working engineers actually use — not the ones a textbook lists.
Daily code. Weekly demos. Every line shipped goes on your public GitHub.
Pick MERN or Python Full Stack. Frontend, backend, database, REST APIs, auth, deployment. Two deployed projects on your public GitHub.
Add analytical and predictive intelligence to your toolkit. Python data stack, ML, deep-learning fundamentals, model deployment.
The skills that separate developers from engineers. Linux, Docker, Kubernetes, CI/CD, AWS, monitoring, basic SRE.
Build the next generation of AI-powered software. LLM fundamentals, prompt engineering, RAG, LangChain, agentic systems.
Tech-lead responsibilities on real client systems. Architecture choices. Code reviews. Mentor Track 01 and Track 02 interns. Stakeholder communication. Production debugging.
Not a participation ribbon. A verifiable certificate, deployed work, and direct intros into our hiring network — local enterprise and AI startups.
A YSM certification — backed by deployed work, not a course completion.
Live URLs and a public GitHub recruiters can actually click — not just slide-deck screenshots.
Direct referrals through founder networks — local enterprise and AI startups, not a job-portal blast.
The kind that comes from having actually done the job, not having watched a video about it.
Two minutes. A founder will reach out personally — usually within 24 hours.