Real numbers from our machine learning courses
We started in 2017 with a simple question: can online courses actually teach machine learning skills that work in the real world? Eight years later, the data speaks for itself.
Where we are now
Currently enrolled across all machine learning courses, from fundamentals to advanced topics
Average completion rate in percentage terms, measured against industry standard of 12-15%
Covering neural networks, computer vision, NLP, and reinforcement learning techniques
Based on 8,900 verified reviews from students who completed at least one full course
Our platform reaches students from Muscat to Mumbai, Toronto to Tokyo via mobile app
Video demonstrations, coding exercises, and practical projects updated quarterly
How we got here
The platform didn't grow overnight. Each year brought new challenges, better tools, and more students willing to tackle difficult concepts with us.
First cohort students learning basics of supervised learning and simple neural networks
Expanded to computer vision and NLP courses during remote learning surge
Added advanced topics, mobile recharge options for global accessibility
Full mobile app launch, reinforcement learning track, generative AI courses
What students actually build
The numbers only mean something if students can apply what they learn. Our project completion metrics track real implementations, not just quiz scores.
Students work with PyTorch and TensorFlow on actual datasets. They build image classifiers that recognize objects, NLP models that process text, and recommendation systems that make predictions. The projects take weeks, not hours.
