Cursos hechos para América Latina — en español, con fuentes y precios de la región. La biblioteca LATAM →

THE TERTULIA — A TABLE, NOT A LECTURE HALL

Pull up a chair. Let’s make sense of AI.

Patient, plain-language courses on how AI really works — with working Python notebooks you keep.

5
Tracks
2
Languages
$44.95
A month
$0
In required tools

ENTENDER · THE LENS — THE LIBRARY’S FIRST COURSE, DRAWN AS A PLATE. EACH TRACK HAS ITS OWN.

THE LIBRARY

One education, in order of depth

Start anywhere. Each track stands alone; together they build on each other. The full curriculum of every course is public — every lesson, listed by name.


Track 01 · open now

Understand

How the machine actually works, in plain language. No code. The lens.

See the course →

Track 02 · open now

Create

Make text, images, music, voice and video by calling the models through their APIs, in Python notebooks the AI writes for you. The craft.

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Track 03 · open now

Research

Turn public archives into evidence you can cite: their APIs, opened by code Gemini writes while you ask the questions. The record.

See the course →

Track 04 · open now

Know

Read the scholarly record through the six APIs that hold it, no university badge and no code of your own. The proof.

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Track 05 · open now

Analyze

Say what a pile of text is really doing: count it, compare it, follow one word, measure its tone, in notebooks that reach the corpus through its API and that the AI writes for you. The measure.

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THE METHOD

Learn AI the way it should be taught

Every track past Entender teaches one transferable skill: reaching a resource through its API, with the AI writing the code and you deciding what to ask.

Plain language, patient
No hype, no jargon, no chasing yesterday’s model release — the understanding that’s still true next year.
You keep what you build
Real Colab notebooks in Python — change one line and they run on your own data. Yours forever.
Free — and private if you want
Everything runs on Google’s free tier; an anonymous account works, and a US .edu address unlocks the advanced tier free.
Two libraries, not one translated
The Spanish library isn’t a translation of this one. It’s aimed at Latin America: the same method, turned on Spanish-language public records and Latin American scholarship — from UNAM to La Plata. Each side reads its own world.

THE MEMBERSHIP

One membership, the whole library

Every track above — and every course we add next. $44.95 a month. Cancel anytime.

See what’s inside →


WHO TEACHES THIS

Dr. Diego Bonilla
Dr. Diego Bonilla
Professor of Communication Studies · Sacramento State · UNAM

Dr. Diego Bonilla is a Full Professor of Communication Studies at Sacramento State and teaches graduate courses at UNAM in Mexico City. He created COMS 101 — Information Management and Privacy — and still teaches it; built a six-course digital-literacy minor approved unanimously by faculty; and directed the faculty learning community where these lessons were first taught to professors. He builds his own AI tools — fifteen and counting.

The full record →


PROOF, WEEKLY

What these skills build

Every Saturday, AI News Social reads ~4,000 sources on AI and society, scores them against a nine-criterion rubric, and synthesizes the result into essays, podcasts, and interactive charts — a pipeline made of the same skills this library teaches: public archives as evidence, models reached through their APIs, media generated in code.

AI News Social — semantic space visualizationAI News Social — this week’s editorial imageAI News Social — power dynamics visualization

Live from this week’s edition — these images change every Saturday. Read it: ainews.social →