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TRYEXCEPT: Learn, Build, and Improve - The New Platform to Master Machine Learning Interviews

Preparing for a machine learning interview shouldn't feel like cramming for an exam. It should feel like building something real. Yet most learning platforms today make you read endless theory, memorize concepts, and still leave you unsure how to actually apply them.


That's why we started TRYEXCEPT: to give learners a way to learn by doing, not just by watching.


Our Lightbulb Moment 💡


It all started with a simple realization:


Most people don't fail ML interviews because they don't understand the theory. They fail because they've never actually built real systems with that knowledge.


We saw countless learners jumping between tutorials, YouTube videos, and GitHub repos, yet when asked to design a real ML pipeline, they'd freeze. The missing piece? Practical, hands-on experience.


That's when TRYEXCEPT was born.

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What's Broken with the Old Way of Learning


The traditional way of preparing for ML interviews looks something like this:


- Watch a few videos.

- Read long technical articles.

- Try to memorize how Google or Netflix designed something.

- Hope it comes up in your interview.


It's passive. It's disconnected. And honestly, it doesn't help you think like an ML engineer.


Even great resources like ByteByteGo do a fantastic job at explaining system design concepts, but they stop at theory. You can learn the architecture, but you can't build one yourself.


We wanted to fix that gap.


A New Way to Learn


Our first version of TRYEXCEPT is a hands-on, AI-guided playground for mastering ML interview design. Here's what it includes:


Learn

Start with short, focused lessons that explain real ML concepts, from data pipelines and model training to deployment architecture. We keep it simple, visual, and practical.


Build

Then, jump into our drag-and-drop architecture builder. Create your own ML system visually by connecting components, choosing frameworks, and simulating how they interact. You're not just reading anymore. You're building the architecture yourself.


Get Feedback

When you're done, chat with our AI mentor. It reviews your design, points out what could be improved, and explains why, just like a senior engineer would in a real interview.


Why It Matters


Machine learning interviews test one thing above all: your ability to think in systems.


It's not about memorizing architectures. It's about designing them under pressure.


TRYEXCEPT helps you bridge that gap.


You get the theory, the hands-on practice, and the feedback loop, all in one place.


No switching tabs, no fragmented learning, no guessing what's "right." Just clear, interactive practice that builds real confidence.


The Future We See


This Beta is only the beginning. Our vision for TRYEXCEPT is to become the go-to platform for experiential technical learning, where engineers can:


- Simulate real ML interview problems end-to-end

- Receive AI-guided mentorship and reviews

- Collaborate, compete, and improve through real-world challenges


We believe the future of learning is agentic, practical, and interactive, where you learn by doing and discussing, not just reading. With this belief, we will deliver the primary platform for cracking the machine learning interview.


Because the best way to prepare for a machine learning interview is to build like you're already hired.


 
 
 

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