We exist to ensure that students from low-income families — who lack access to computers, labs, and teachers — are equipped with applied AI and technology skills to confidently pursue thriving careers in the AI economy, delivered within their constraints, in their own languages.
The internet reshaped the global economy over twenty-five years. AI is doing the same — in four or five.
That compression is the core of the problem. Past technology transitions were slow enough that societies could adapt — systems could update, teachers could be retrained, infrastructure could follow. This one isn’t waiting.
And the students who will be left behind are already visible. They are sitting in low-resource schools, lacking the very infrastructure required to upskill them for this changing world.
The entry-level roles that historically absorbed India’s less-privileged graduates — data entry, basic IT support, routine processing — are among the first being automated. The bar for employability is rising sharply. The students we serve are starting from further behind than they ever have been — at the exact moment when the cost of being left behind has never been higher.
This is not a future problem. It is a current one. And it is widening.
AI fluency is not a specialist skill. It is the new baseline.
Whether a student eventually enters healthcare, agriculture, business, government, or design — their ability to work effectively with AI will increasingly determine the quality of opportunity available to them. The question is not whether they need this. It is whether they will have the chance to develop it early enough for it to matter.
The barrier was never talent. It was access.
This is not optimism — it is a finding. Students from farming families and Hindi-medium government schools are building functional AI-powered applications on their phones. Commerce and humanities students, who were never expected to engage with technology, are consistently among our most advanced learners. The talent was always there. No one had designed for the constraints it was living inside.
Teacher capacity cannot be the binding constraint for a problem of this magnitude.
India faces a shortage of over a million teachers for standard subjects. The idea of solving AI education by training new technology teachers at scale is not a strategy. It is a delay. AI, designed correctly, can fill this role — as tutor, evaluator, mentor, and guide, simultaneously — without that capacity ever becoming the ceiling on scale.
Government is a partner, not a bottleneck — if you design the relationship correctly.
We work with district administrations and state governments to reach students at scale. But we do not depend on institutional systems for delivery. Government opens access. CodeYogi delivers. That distinction is why the model scales.
The mindset outlasts every specific skill we teach.
Coding languages change. AI tools evolve. The job market in 2030 will look different from the one we are preparing students for today. What we are building — underneath every curriculum decision — is a student who knows how to learn, how to build, and how to adapt. That compound is more durable than any specific technical skill.
“Do not be daunted by the enormity of the world’s grief. Do justly now, love mercy now, walk humbly now. You are not obligated to complete the work, but neither are you free to abandon it.”
— The Talmud
We run a super efficient program to maximise impact of each rupee spent. Come be part of this journey.
Open Donate Page 02 Mentor a CohortThe amazing talent we find, need mentors who can spend some hours each month in aligning them with the changing industry.
Write to usSpread the word about us. Drop a LinkedIn post tagging us, or share with your alumni network. We’re finding and skilling the most talented and dedicated lot of students.