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NodeDataDev

Automated Systems Service Programming

Practical Systems Training For Real Development

Most automation courses throw you into frameworks without explaining what's actually happening underneath. You end up copying code you don't understand.

We do it differently. Our training starts with the fundamentals—how systems actually communicate, what makes automation reliable, and why certain approaches work better than others.

This isn't about certificates or quick wins. It's structured learning for people who want to build things that actually work. We run small cohorts starting September 2025, limited to twelve participants so everyone gets proper attention.

Next intake opens August 2025. Applications reviewed on a rolling basis—spots fill quickly because we keep groups deliberately small.

Developer working on automation systems at workstation

Common Problems We Actually Solve

These are the roadblocks most people hit when trying to learn automation. Here's how we tackle them.

1

Understanding API Integration Logic

Everyone says "just connect the APIs" but nobody explains error handling, rate limits, or what happens when services go down.

Our Approach

We build a complete integration from scratch together. You'll see authentication flow, handle timeout scenarios, and implement retry logic that actually works in production.

2

Writing Code That Scales

Your scripts work fine with ten records but crash with a thousand. Learning how to handle real-world data volumes isn't covered in most tutorials.

Our Approach

We start with inefficient code and refactor it together. You'll learn batch processing, memory management, and when optimization actually matters versus premature optimization.

3

Debugging When Things Break

Code breaks. Always. But most courses only show you the happy path. Real skills come from figuring out what went wrong and fixing it.

Our Approach

Every module includes intentional bugs to find. You'll learn logging strategies, diagnostic techniques, and how to read stack traces without panicking.

4

Knowing What to Build Next

After basics, people get stuck. They know syntax but don't know how to approach real automation problems or where to start.

Our Approach

Final project is your choice—automate something from your actual work. We guide architecture decisions and code reviews, but you're solving your own real problem.

Portrait of Callum Braeburn

Callum Braeburn

Operations Manager

Portrait of Vesna Törnqvist

Vesna Törnqvist

Data Coordinator

I took the autumn 2024 cohort after struggling with online tutorials for months. The difference was having someone explain why certain approaches work better for different scenarios. Not just what to code, but the reasoning behind architectural decisions.

Callum joined with basic Python knowledge and now maintains automated reporting systems that save his team fifteen hours weekly. Vesna came from spreadsheet-heavy workflows and built custom data pipelines that replaced manual processing entirely. Both completed practical projects directly applicable to their roles.

Applications Open August 2025

Twelve spots available. We review applications individually to make sure this matches what you're trying to learn.

Submit Application Inquiry