People of Data  /  Upskilling  /  For Corporates

Your team doesn’t need another AI webinar. It needs to ship something by Friday.

Skilllz taken in-house. We train technical teams, the non-technical majority of a workforce, and the executives who have to make the adoption call — on site, in your own tools, on your own data, with something working at the end of every session.

Why this works

Most corporate AI training fails the same three ways.

Failure 01

It stops at the demo

A vendor shows a polished use case on their data. Nobody in the room can reproduce it on Monday. We train on your documents, your systems and your actual bottleneck — the exercise is your work, not a sample dataset.

Failure 02

It trains the wrong people

Engineers get the budget; the eighty percent of the company who would benefit most get a slide deck. We run parallel tracks so finance, marketing and operations move at the same time as the technical team.

Failure 03

Leadership never enters the room

Adoption dies where the decisions are made. We run a separate closed-door track for executives, so the people signing off understand the same thing their teams just learned.

Three tracks

One company, three different rooms.

Run them separately or in parallel. Most engagements start with one department and expand once the first cohort has something to show.

For the majority of a workforce who will never write a line of code but will use these tools every day. The goal is competent, safe, unsupervised daily use — not enthusiasm.

01
AI Fluency FoundationsWhat these systems are, where they fail, and the vocabulary to talk about them without hand-waving.
02
Prompting for real workMoving past clever one-liners to repeatable prompts that hold up on your own documents and data.
03
AI For MarketingCampaign concepting, content production, creative operations and brand-safe generative workflows.
04
Sales & customer operationsResearch, outreach, call preparation, ticket triage and the parts of service that should never be automated.
05
Finance, HR & adminReporting, reconciliation prep, policy drafting, screening and internal knowledge search.
06
Safe use & data handlingWhat may go into a model, what may not, and a usage policy your legal team can actually sign.
No coding requiredArabic or EnglishOwn-task exercisesUsage policy included
Track 03 · Invite only

The CEO session.

Half a day, no laptops open, no vendor in the room. Built from the format we run as our monthly Data & AI Leaders Meetups, where 280 executives and investors representing data ecosystems that serve more than 50 million Egyptians spent an evening on one question.

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  • 01An honest read on where AI pays back in your industry inside twelve months.
  • 02How to evaluate a vendor claim without a technical team in the room.
  • 03What an internal AI capability really costs to stand up and keep.
  • 04Governance, disclosure and procurement language you can hand to legal.
  • 05A 90-day roadmap with named owners and two measurable outcomes.
How we deliver

Four ways to run it.

Every format is delivered on site or in your own environment, in Arabic or English, by practitioners who ship this work — not by trainers reading a curriculum.

Half day

Executive briefing

A single closed-door session for the leadership team. The fastest way to get alignment before committing budget.

4–6 weeks

Cohort programme

Weekly sessions with work between them. Each participant brings a real task from their own desk and leaves with it automated or accelerated.

Ongoing

In-house academy

We build your internal curriculum, train your trainers and hand over the material so the capability stays after we leave.

2–3 days

Corporate challenge

A hackathon on your own problem statement, with our mentors on the floor. Ends with working prototypes and a decision on what to take forward.

The receipts

We have run this room a lot.

40+
Meetups delivered
280
Executives in one room
50M+
Users represented
1,000
Creators in training

AI For Everyone, Everywhere!

Not a slogan. A test we hold every programme to — if it only reaches Cairo, or only reaches people who already had a head start, we haven't done the work.