Dugsiiye Sponsored Every Bootcamp We Have Ever Run
Goobo Labs ran five bootcamps between September 2025 and July 2026 — all sponsored by Dugsiiye, all open to anyone, all still online. What open access made possible, who Dugsiiye is, and what each organization brought to the partnership.
Between September 2025 and July 2026, Goobo Labs ran five bootcamps: three cohorts of Data Science and Machine Learning, one Python course for complete beginners, and one on Git and GitHub. Every lesson was taught in Somali. Every seat was open to anyone who wanted it.
All five were sponsored by Dugsiiye. That sponsorship is why we could design the programs around what learners actually needed, and why every lesson from every cohort is still online today — in Somali, open to anyone who finds it.
This post is about that partnership: what open access made possible, who Dugsiiye is, and what each organization brought to it.
Open to Everyone
Dugsiiye sponsored every Goobo Labs bootcamp, and what the sponsorship produced was access. Not a discount for some people — the removal of every gate for all of them.
Open to everyone — no application, no screening, no ranking
No cohort cap — the recordings never run out of seats
No sign-up — the curriculum is public; you do not trade an email for it
Free and permanent — every lesson stays up long after the cohort ends
The material does not vanish when a cohort finishes. Every lesson stays online after the last live session — the repositories stay public on GitHub, the recordings stay up on YouTube, and the course material is released under CC BY-NC-SA 4.0, so anyone can reuse and adapt it for non-commercial teaching. A student who finds the September 2025 cohort in 2027 gets exactly what the original cohort got. So does a teacher who wants to run it themselves.
The distinction that matters here is between sponsoring an event and sponsoring a public good. A sponsored event ends when the event ends. Five sponsored bootcamps, left permanently online in Somali under an open license, become infrastructure that keeps working long after the cohort chat goes quiet.
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Who Dugsiiye Is
Dugsiiye is a Somali-language software engineering school. It launched in 2019 on a premise that sounds obvious and is still, seven years later, rare in practice: that Somali speakers deserve world-class technical education in their own language rather than a translated approximation of someone else's.
Its own account of the years since:
2019 — launched with the language-first approach
2022 — reached 1,000 students across Somalia and the diaspora
2023 — introduced a live weekly mentorship program
2025 — rebuilt the curriculum around AI tooling
2026 — expanded to a ten-phase Full Stack AI Engineer program
That program is now the flagship: ten phases across thirty-two weeks, taking a student from HTML and CSS through JavaScript, React, MongoDB, Node, TypeScript and Next.js, into an AI engineering track and finally into agentic coding. By Dugsiiye's own count it runs to 722 lessons and more than 128 hours of instruction, with six real applications shipped along the way, and it has been taken by more than 7,000 students. All of it in Af-Soomaali.
That is the same bet we make about datasets, tokenizers, and models, placed in a different venue: Somali should be a first-class language in technical work, not an afterthought bolted onto English tooling. Sponsoring open bootcamps is a direct extension of it.
Why Teaching in Somali Changes Who Shows Up
A learner who reads English slowly can still get through a Python tutorial, but they are doing two hard things at once, and the one they did not sign up for is the one that exhausts them. Teaching in Somali removes that second task. What is left is the actual subject.
Open access finishes the job. A program you have to apply for filters by whoever writes the best application. A program with a cap filters by whoever hears about it first. Remove both and the only thing between a learner and the material is whether they want it.
What that produced is measurable, and we would rather show the numbers than describe the feeling:
200+
Engineers trained
973+
GitHub stars
489+
Repository forks
12,000
Views in week one
The other measure is slower and harder to chart. Alumni from these cohorts have gone on to work as software engineers and full-stack developers, and some have shipped and deployed their own applications since. Three of them hold verified Goobo Labs certificates from the cohorts above. It is a small number today. It is also the number that compounds.
The 12,000-view figure is worth sitting with. After the June 2026 cohort ended, we compiled its curriculum into a single video — just over thirteen hours of Data Science and Machine Learning taught in Somali — and put it on YouTube on the first of August. It passed 12,000 views in a week. Nothing about that video was gated or held back for subscribers. It was sponsored and open, so it could simply be published.
Built by Goobo Labs, Sponsored by Dugsiiye
It is worth being precise about who did what, because both halves matter.
Goobo Labs designed the curricula, taught the cohorts, ran the live sessions, and maintains the repositories. Each bootcamp was built from what the previous one exposed, and every lesson, assignment, and recording came out of that work.
Dugsiiye sponsored all five, and the programs stayed open throughout: the curriculum ours to design, the material openly licensed, the recordings public afterward. That is a rarer arrangement than it sounds. The easy version of sponsorship puts a logo on a gated funnel.
It works because both organizations are making the same bet from different directions — Dugsiiye that Somali speakers should learn software engineering in their own language, Goobo Labs that Somali should be a first-class language in AI and data work. The bootcamps are where those two lines meet.
What the Five Bootcamps Delivered
Each cohort was built on what the previous one exposed. Open, uncapped programs are what make that iteration possible: you can rebuild a curriculum because it was weak, rather than because a new intake needs a new product.
DS & ML, September 2025. The first cohort. One month, taught end to end: introduction to machine learning, the full workflow, data foundations, preprocessing worked live, regression and classification in both theory and notebooks, clustering, deployment, and a final project.
DS & ML, February 2026. The second cohort answered the first one's friction. We added a walkthrough on how to actually submit assignments, split regression across two sessions, added revision videos, and cut the core sequence to seven lessons rather than stretching it to ten.
Python for Everyone, April 2026. Written for people who had never programmed. Fourteen lessons from fundamentals through operators, collections, loops, functions, file and error handling, and object-oriented programming, and finishing with three real builds: a study log, a personal catalog, and a student management system. Git and GitHub appeared at lesson three, on purpose.
DS & ML, June 2026. Eight core lessons, plus seven bonus sessions covering the material that surrounds the work rather than the work itself: the mathematics behind it, an introduction to deep learning, generative AI, AI ethics and responsible practice, career paths, portfolio building, and closing advice from the instructors.
Git & GitHub, July 2026. The gap the previous four had all exposed. Students could train a model and could not open a pull request. One month on version control concepts, repositories, commits and history, branching, merge conflicts, collaboration, pull requests, and contributing to open source.
What Comes Next
Two more bootcamps are on the schedule: one on natural language processing — transformers, deep learning, and Somali specifically — and one on applied statistics and probability for data science, covering hypothesis testing and regression. Both are listed as upcoming rather than dated, because we would rather announce a date we can keep.
Both will run on the same terms as the five before them. Open, free, recorded, and public afterward.
Five bootcamps reached more than two hundred engineers in their own language, and every one of those lessons is still open today. Goobo Labs built them. Dugsiiye sponsored them and made them reachable by everyone. Thank you to Dugsiiye for that.
The bootcamp curricula, recordings, and materials are all public — browse the bootcamps page on goobolabs.so, or go straight to the repositories at github.com/GooboLabs. If you want the full Somali-language software engineering path that Dugsiiye teaches, it lives at dugsiiye.com.
Our Biggest Cohort Yet: Inside the June 2026 Data Science & Machine Learning Bootcamp
In June 2026 we ran our third Data Science & Machine Learning Bootcamp, and it's the biggest curriculum we've built for the program — eight core lessons on the full ML workflow, plus seven bonus sessions covering deep learning, generative AI, ethics, and career paths.
