
AI Training Foundations
What training a model actually means, and how to set one up to succeed.
- What it means to train an AI model
- Define the task and its success criteria
- Choose a base model
- Curate data that teaches
5 free courses and 24 lessons on how models and agents are trained, evaluated and shipped in 2026, from your first prompt to reasoning models, agent evals and the EU AI Act. No account needed to read.

What training a model actually means, and how to set one up to succeed.

From a hand-written prompt to an optimised one, and when to go further.

What a training run takes in compute, memory, hardware and money.

If you haven't measured it, you haven't trained it.

Tools, context, security and feedback for agents that run unattended.
Lessons link to the papers, specs and standards behind them, so you can check the source.
Each lesson ends with a hands-on exercise in Kojen: a kata, a Forge run, an evaluation or a deployment.
A short quiz closes every lesson. Score 70 or more to complete it, the same bar as a kata.
Kojen is free to start, then pay as you go. Create an account to run the exercises: katas, Forge runs, evaluations, simulations and live deployments.