Building Tomorrow's Neural Network Experts
We started Straves because we saw something missing in how people learn about neural networks. Most programs either dive too deep into theory or stay too shallow for real applications. We found the middle ground – practical, hands-on education that actually prepares you for what's coming next in AI.
Our Journey in Neural Networks
From a small team with big ideas to India's go-to resource for practical neural network education
What Makes Our Approach Different
Real Projects First
Every concept gets tested on actual problems. You'll work with datasets from Indian companies and build solutions for real challenges, not textbook examples.
Industry Context
We teach you to think like a professional who needs to justify why neural networks are the right choice – or when they're not. Business context matters as much as technical skill.
Practical Deployment
Learning to build a model is just the start. We cover optimization, scaling, monitoring, and maintenance – the stuff that actually matters when your model goes live.
Ongoing Support
Join a community of practitioners who continue learning together. Our alumni regularly share insights, collaborate on projects, and help each other navigate career transitions.
We're not trying to turn everyone into research scientists. We're building practical expertise for developers and technologists who want to use neural networks to solve real problems in Indian businesses and beyond.
Arjun Mehta
The People Behind Straves
Our team combines academic background with industry experience. Arjun spent five years building machine learning systems for fintech companies before joining us. He got frustrated watching talented developers struggle with neural networks because most resources were either too basic or too theoretical.
What drives us is seeing that moment when concepts click – when someone realizes they can actually build and deploy neural networks that solve real problems. We've all been there ourselves, struggling through confusing tutorials and incomplete examples.
We keep our programs small and focused because we want to know each participant personally. By the end of our programs, you're not just another graduate – you're part of a network of professionals we stay connected with long after the formal training ends.