The gap between "learning AI" and "being able to do the job" has never been wider. Companies are desperate for engineers who can ship AI in production. Traditional training produces certificates, not engineers. We close that gap by making people do the real work — guided, evaluated, and shipped — before they ever step into a job.
Watch videos. Finish modules. Build one toy capstone. Get a certificate. Then a hiring manager asks what you've actually built — and there's no real answer. Completion rates are low, employers say grads aren't ready, and only a fraction of AI projects ever reach production.
Select capable people. Drop them into a real engineering experience. Have them research, architect, build, ship, and respond to real feedback — guided by people who do this every day. By the time they finish, they've already done the job.
If it isn't shipped to real users, it isn't experience.
Small, capable cohorts beat mass enrollment, every time.
We'd rather report real numbers than flattering ones.
Human feedback from practitioners is the whole point.
[Founder story placeholder — replace with the authentic origin: the moment the gap between training and real work became undeniable, and the conviction behind the build-real approach. A specific, real story will outperform any generic mission statement here.]
— The DolfynAI founding team · Bangalore