Abdelilah Arahal

I train organisations in the UAE to use AI in the work they already do. Government entities, corporates, universities. In Arabic and in English, and the standard is the same in both, that is the part most people want to check first, so I will put it at the top.

What I am actually good at is not the technology. Plenty of people know the tools better than I do. What I am good at is standing in front of a room that did not choose to be there and making something complicated land, and then getting people to do it themselves before they leave.

Python Arabic Community

I co-founded Python Arabic Community, which became the Arab world's largest AI and Python education channel on YouTube, and was recognised by Python.org.

Running it taught me something I could not have learned in a training room, because the feedback loop is brutally fast and completely honest. If an explanation does not work, people leave, not politely at the end, but forty seconds in, and you can see exactly where. There is no room to blame the audience.

So every explanation I use in a training session has already been tested on tens of thousands of people. The ones that lost the room were rewritten, sometimes four or five times. Clients get the version that survived. That is a different thing from a trainer who has prepared well.

Before AI

I spent years as a journalist, a cinematographer and a creative director. It sounds like an unrelated career, and people occasionally treat it as a curiosity on the CV. It is the most relevant thing on it.

A journalist's entire craft is taking a subject the reader does not understand and does not particularly want to, and making it clear enough that they keep reading. You do not get to say the material was difficult. You do not get to say the audience should have paid more attention. If they stopped reading, you failed.

Corporate AI training is that job, under the same rule. A room full of people who were told to attend, who have work piling up, and who have heard about AI mostly as hype. If they leave unchanged, that is not their fault.

Cinematography added something more specific: an instinct for sequence. What has to be understood before the next thing makes sense, what can be shown rather than explained, and when to slow down because the audience is not with you yet. Most technical training fails on sequencing rather than on content.

Why that combination matters

The AI training market has plenty of two kinds of people. Engineers who know the systems deeply and cannot teach them. And presenters who can hold a room and do not understand what they are describing well enough to answer the second question.

I build with these tools and publish technical breakdowns of them to a very large audience. And I spent a career learning how to make hard things clear to people who are not experts. The training works because of the overlap, not because of either half.

Education

Licence Professionnelle, Filière Image, at the École Supérieure des Arts Visuels de Marrakech: a visual arts training, which is to say a training in how attention works and how meaning is constructed. It turns out to be more useful for explaining transformer models than it has any right to be.

What I am doing in the UAE now

Working from Abu Dhabi, delivering training across the Emirates. Most of the work is with government entities and corporates who have already bought the tools and now need their people to actually use them.

The part I find most interesting is the Arabic delivery. There is a real gap in this market: almost all serious AI training here happens in English, and for a lot of teams that quietly halves what a session achieves. Doing it properly in Arabic, not translated, not interpreted, is the thing I am most useful for, and the thing I intend to keep being known for.

If that is what your team needs, book a call and tell me about it.