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.
The team
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
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
Who’s who
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.
AI for digital marketing
Uses AI to optimise campaigns, automate content and read audiences. Turns marketing data into strategies you can act on.
Instructor
Ministry of Health · Abu Dhabi
Researches AI in healthcare and teaches on three master’s programmes.
Teaches
Cloud Architect & DevOps Engineer
Designs scalable cloud infrastructure and CI/CD pipelines. Works in AWS, Kubernetes and deployment automation.
Academic and content director
AI, Drugs & Robots · 280k+
Sets the academic standard behind everything you learn.
Teaches
Instructor
AI Engineer · ex-Santander
Builds the systems he teaches you to build, every single day.
Teaches
AI for digital marketing
Digital marketing · AI
Automates lead capture and funnels with AI to scale businesses.
People from outside who teach specific subjects on the open courses.
Instructor
Snowflake · ex-Microsoft
Has spent years putting startup AI into real production.
Teaches
How we teach
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
The discovery call decides the syllabus: the session works on your processes and your documents, department by department. No laboratory examples.
02
Everyone leaves each session with something built: prompts that work, assistants, automations. Usable the next morning.
03
Every concept translated into the language of the team that will use it. Technical jargon stays in technical rooms.
What comes next
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.