A learner approaching a luminous doorway in a mountain landscape

AI & Prompting Foundations / 001

Learn the skills.
Build the thing.

A guided route from first principles to a working AI project, made for people changing careers.

02

Progress, with somewhere to go.

04stages in the first path

LLMs → prompts → Python API calls → a working project.

A documented learning sequence, not a promise of mastery.

The first path / 02

Stop collecting tabs. Start connecting ideas.

Onyx gives each concept a place in the sequence. Learn a little, try it immediately, then keep moving toward something that works.

Follow the route
Onyx learning dashboard with a visible skill path and practice workspace
LEARN / PATH VIEWAI-01 — IN PROGRESS
A close-up code practice scene with colorful syntax on a dark screen
PRACTICE / PROMPT ARENATRY AGAIN / KEEP GOING

Practice / 03

Theory gets you started. Practice gets you there.

Short challenges turn a lesson into an attempt. Immediate feedback tells you what changed and gives you a reason to try again.

GuidedA clear next step when tutorials leave you guessing.
PracticalExercises that ask you to use the idea, not just remember it.
VisibleProgress you can feel in completed nodes, feedback, and momentum.

A path you can see / 04

Four steps. One useful outcome.

The first Onyx track makes the distance between “I’m curious” and “I built it” feel legible.

01

Understand the model

Start with the ideas behind LLMs, without the prerequisite maze.

02

Shape better prompts

Turn curiosity into repeatable patterns through short, focused practice.

03

Make the API call

Use Python to move from a prompt on the page to something that runs.

04

Build the working thing

Bring the pieces together in a small AI project you can point to.

Your next step / 05

Make the first move count.

Onyx is shaping its first playable path for people ready to build a new skill from the ground up.

No noise. Just the next step when it’s ready.