👨‍💻 About Autonate AI

The Story

Most programming courses start with syntax.

print("hello world"), a few loops, maybe a project if you're lucky.

But the world doesn't need more people who can follow tutorials.

The world needs builders who understand:


💡 The Problem

I graduated from the University of Michigan with a Computer Science degree. I've shipped software as a consultant, built AI agents, run a critical thinking academy, and come up from a background where nothing about this path was guaranteed.

On the way here, I realized something simple but brutal:

Traditional CS education was never designed for the world we live in now.

It was built for a world before:

The old model:
"Learn to code, get a job, do your tickets."

The new reality:
"Understand systems deeply, or get automated by the systems you don't understand."


🎯 The Solution: Autonate AI

Autonate AI is how I'd redesign CS education if I could start from scratch.

It's built on three pillars:

1. Evergreen Courses

A complete CS curriculum rebuilt with:

12 courses from "How Humans Think" to "Applied AI Agents"

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2. Hackathon Lab

Weekly live-fire training where we:

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3. Autonate Starters

Battle-tested templates for rapid deployment:

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🧠 The Philosophy

Big-O, Cognitive Load, and Why This Curriculum Exists

In computer science, Big-O notation tells you how fast an algorithm grows with input size.

In real life, your brain has a Big-O too.

You feel it when:

Most courses pretend this doesn't exist. This curriculum doesn't.

The Nathan-Core Evergreen Curriculum treats you like the system you are:

We connect:

You don't just learn how data flows through a machine.
You learn how information and energy flow through you, and you design your work around that.

That's what makes this evergreen: it's not bound to one framework or one trend. It's bound to how humans and computers actually work.


🚀 From Busywork Dev to Systems Engineer of the AI Era

Right now, there are two kinds of software engineers:

Type 1: Still being trained like it's 2012.
They write code, move tickets, wait for instructions, and hope AI doesn't eat their job.

Type 2: Quietly leveling up.
They understand systems, model complexity, speak both human and machine, and use AI to:

This curriculum is built for the second group—and for anyone ready to join them.


👨‍💻 About Nathan Baker

I've taught autonomy, built AI agents, and helped students go from "I can follow tutorials" to "I can architect systems."

Autonate AI is my answer to the question: "How would I teach programming if I could design it from scratch?"


🎯 Who This Is For

This is for you if:

✅ You're tired of feeling like a code monkey in an AI world
✅ You want to move from "Do this task" to "Design the system that decides which tasks matter"
✅ You feel the gap between what you were taught and what your job (or ambitions) now demand
✅ You want software engineering that respects your mind, your time, and your potential—not just your output

It's also for people one or two hops away from you:


💬 The Tone Here

No hype. No gimmicks.

Deep, honest, modern computer science that treats you as a whole human.


🚀 Get Started

Explore Evergreen Courses Join Hackathon Lab Join Community

📧 Contact

Questions? Ideas? Want to collaborate?


Ready to think like an engineer who designs intelligence—human and machine?

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