An eight week online professional certificate for the American University of Beirut, for people starting from zero. I wrote it end to end: the syllabus, the lessons, the assessments, and the notes future instructors teach it from. Someone else delivers it, which was the point. The examples are local, including ones in Arabic.

A national AI programme for university students, faculty and staff, run with Microsoft. I co-wrote the course and taught on it. Two months, self-paced material, live workshops, and a hackathon at the end.

Judged the Clyntech climate tech hackathon, run by Berytech. Judging is teaching compressed into ten minutes: you have one pitch to work out whether a team understands their own system, and the feedback has to be useful to people who just spent a weekend on it.

A Data Analytics track delivered with shareQ and ProAbled alongside ZAKA's education team, graduating twenty Professionally Abled participants. The same week I ran the Career Map workshop, walking high-school students through what AI careers actually look like.

The first K-12 AI curriculum in the MENA region. I wrote content covering grades 4 to 12: data, how machines learn, what the tools can do, and how to use them responsibly.

For people who use AI rather than build it. Seven modules and about twenty-four tools, covering AI fundamentals, getting real work out of ChatGPT, generating images, video and audio, using all of it for creative problem solving, and where the ethical lines are. Twenty-one hours across seven sessions, built to survive a working week. I taught three cohorts, retailored each time for the room it was going into, including a training for teachers at Université Saint-Joseph.

AI training written and delivered for Inception, a G42 company, and VISA Jordan in 2024, and IMAGIC in 2025. Different rooms, same problem: people who are good at their jobs and now have to work out what these tools are actually for. Practical sessions, not theory.

The technical track, and the one that turns people into practitioners rather than users. The four week bootcamp runs from data science and machine learning through deep learning and computer vision to natural language processing and time series, and nobody is certified without presenting a capstone. The longer certification track covers the same ground at depth, across four cohorts. One bootcamp cohort in 2023, then certification from there.