Learning by doing
Every topic is short and brings a metaphor, a real case and a practical tip. No filler theory.
An interactive course, taught in Spanish, to learn artificial intelligence and how to use Claude Code on real projects — learning by doing, with challenges and a community.
Every topic is short and brings a metaphor, a real case and a practical tip. No filler theory.
To clear a topic you answer a challenge. Getting it wrong is part of the process: every answer explains why, and that’s what makes it stick.
The bar rises with every topic. You earn experience, keep your streak and unlock a badge per module.
Every module closes with a collaborative challenge to do with others. Learning alone is learning half.
So everyone starts level, with no jargon: what a language model is, tokens and context, hallucinations and how to talk to AI well.
The agent that lives in your terminal (not one more chat): what it is, how to install it and the read–think–act loop.
The key practice of expert users: clearing the table with /clear, project memory in CLAUDE.md, and interrupting and correcting in time.
How much autonomy to give the agent and how to work safely: Plan Mode, permission modes and picking the right model.
Tailor Claude Code to your way of working: your own commands, hooks that automate rules and MCP to connect your tools.
So what you built stops living on a single computer: publishing it online, where the data lives and who gets to see what.
Get the agent to delegate, orchestrate and work on its own: subagents, skills and workflows, headless mode with cron, and building your own agents with the SDK.
A reviewer who isn’t the author, custom agents with limited tools, parallel work without collisions and tasks that schedule themselves.
The hard part isn’t shipping it, it’s that it still works tomorrow: checking what the agent claims, why a change doesn’t show up, what it costs and how to find out before your users do.
For those who want to understand artificial intelligence in depth and use it day to day, not just chat with a bot.
For those who work or study at a computer and want a tool that helps them research, write or get things done.
For those with repetitive work who want an agent to run it — always under their supervision.
[ At your own pace · Course in Spanish ]
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