The team

Here you teach when you have
something to teach.

Six people and a single team. There are no two groups here: everyone has a role in the project, and a subject gets taught when somebody works on it enough to teach it. Three of us teach today; tomorrow it could be more.

Where this comes from

First it was a channel. Then it became a school.

Part of this team built AI, Drugs & Robots, a channel covering what happens in AI, health and technology every day, followed by more than 280,000 people. Explaining things forces you to understand each development before you talk about it, and to put it in language people actually follow — and that is what shows up later in class.

Reporting what is happening is not the same as teaching people to use it. That gap is the reason aprenderIA exists: what gets analysed on the channel enters the syllabus once it proves it works, and it is taught by whoever uses it.

@aidrugsyrobots · 280,000+ followers
Two team members posing for a selfie in the recording room at the end of the day
A team member filming with a phone on a tripod, with a ring light and two screens on at the desk
A team member recording at home with a phone clipped to a ring light, laptop open beside him
Two team members next to a humanoid robot, in front of the Cursor banners in Abu Dhabi
A speaker with a microphone next to a screen reading «Cursor Is All You Need», in front of a full room
A team member pointing at the CIAM XXVII congress screen announcing his own keynote
A speaker seated on stage at a Sanofi panel, with his close-up projected at giant size behind him
A speaker with a microphone at a round table at AURAK university, in the Emirates, under a screen with her name
Round table at the University of Barcelona generative AI conference, with four speakers facing the audience
A class in a university lecture room: a teacher explaining next to a blackboard with figures written by hand
A speaker explaining a clinical scale projected on screen to a seated room of professionals
A speaker pointing at a slide titled «IA y docencia» in front of a seated audience

Who’s who

Everyone with their own role.

In alphabetical order, the only one that does not build a pecking order. Each card says what that person does at aprenderIA, where they are outside it and, if they teach, which subject.

Training for companies

Us

Alberto Lázaro, AI for digital marketing at aprenderIA

Alberto Lázaro

AI for digital marketing

Uses AI to optimise campaigns, automate content and read audiences. Turns marketing data into strategies you can act on.

Martín González, Cloud Architect & DevOps Engineer at aprenderIA

Martín González

Cloud Architect & DevOps Engineer

Designs scalable cloud infrastructure and CI/CD pipelines. Works in AWS, Kubernetes and deployment automation.

Víctor Lázaro, AI for digital marketing at aprenderIA

Víctor Lázaro

AI for digital marketing

Digital marketing · AI

Automates lead capture and funnels with AI to scale businesses.

Collaborators

People from outside who teach specific subjects on the open courses.

How we teach

Hands-on, project-based, jargon-free.

A syllabus does not get written in the abstract: it gets written by whoever solves that problem every week. That is where our three non-negotiable rules come from.

01

Built on your own cases

The discovery call decides the syllabus: the session works on your processes and your documents, department by department. No laboratory examples.

02

Projects, not lecture notes

Everyone leaves each session with something built: prompts that work, assistants, automations. Usable the next morning.

03

Plain language, no jargon

Every concept translated into the language of the team that will use it. Technical jargon stays in technical rooms.

What comes next

Shall we train your team?

The same people you have just met are the ones who walk into your company: discovery first, training built on your own cases, and support until it is actually being used.

Coming on your own? Start with IA desde 0 or Vibe Coding Profesional.