Machine Learning
From data preparation — to a trained model and its integration into the product.
we cover: datasets and labeling · training and metrics · model integration
Practical engineering streams run by RedKernel Studio engineers. Online and in a flexible format — closer to mentorship than to courses: live topics from real practice, real tasks and honest code review.
Every stream is a series of live sessions: a topic walkthrough, your own task, review from the lead. There is no sign-up for a specific stream — leave an application and we will pick the direction together.
From data preparation — to a trained model and its integration into the product.
we cover: datasets and labeling · training and metrics · model integration
Microcontrollers, devices, interfaces and low-level programming — with a final project on real hardware.
we cover: microcontrollers and peripherals · interfaces and protocols · final hardware project
From a backend service — to a working deployment: Linux, Docker, CI/CD.
we cover: Python service · Linux and Docker · CI/CD and deployment
First — short answers to common questions, then the form. No polished CV needed — a couple of words about you is enough.
No. These are practical sessions from studio engineers — closer to mentorship: we take topics from real practice and build tasks, not homework.
A foundation in the field helps, but the main filter is interest and readiness to build. We will guide you at the short talk after the application.
Online, in a flexible format: a short topic walkthrough, a live task, review from the lead. No rigid schedule — we arrange meetings in the chat.
Real development experience, code review from practitioners and a project you can show. The best continue in the ecosystem's projects.
Leave an application in the form — we will write back and have a short talk with the stream lead. It is not an exam, just an introduction.
~/academy→ok — application accepted
We will write to — and arrange a short talk with the stream lead.