Cloudfuturex Logo
+886 4 2623 6894

Cloudfuturex

Build Neural Networks That Actually Work

Most courses teach you syntax and theory. We teach you how to write production-grade neural networks that solve real problems. Starting September 2025, we're running small cohorts in Kaohsiung for developers who want practical skills.

See What You'll Build

Why Most Neural Network Courses Fall Short

Here's what we noticed after working with dozens of developers in Taiwan. They'd finish courses, feel confident, then hit a wall when trying to build anything real.

The problem wasn't their effort. It was that most programs teach clean datasets and perfect conditions. But actual projects involve messy data, hardware constraints, and debugging issues that YouTube tutorials never mention.

So we built something different. Our program starts with a broken neural network on day one. You'll spend the first week just making it work properly. Then we build complexity from there.

Neural network training visualization showing live model performance metrics
"

I spent two months trying to get my first CNN working before finding Cloudfuturex. What clicked for me was learning debugging techniques nobody else teaches. Now I can actually diagnose why a model isn't converging instead of just tweaking hyperparameters randomly.

Portrait of Viggo Lindström
Viggo Lindström
Software Engineer, Tainan

What You'll Actually Learn

Computer vision project implementation with object detection

Computer Vision Projects

Build image classifiers that work on edge devices. We cover optimization techniques that let you run models on limited hardware.

View curriculum →
Sequence modeling and time series analysis workspace

Sequence Models

From LSTMs to Transformers. You'll understand when to use each architecture and how to handle real-world time series data.

Explore topics →
Model deployment pipeline and production environment setup

Deployment Practices

Getting models into production is where most developers struggle. We spend significant time on API design, monitoring, and version control.

Learn deployment →

How We Run These Programs

Small Groups Only

We cap enrollment at 12 people per cohort. This isn't about being exclusive. It's because you need individual feedback when debugging model architectures. Larger classes make that impossible.

Real Projects, Not Tutorials

By week three, you'll work on a project with messy, unlabeled data. Some people find this frustrating at first. But it's the closest thing to what you'll face professionally.

Flexible Schedule for Working Developers

Classes run twice weekly in evenings, plus weekend lab sessions. Most participants keep their day jobs during the program, which starts in autumn 2025.