AI & Data Literacy
Develop practical understanding of AI, data, and the tools shaping today's technology landscape.
Upcoming Cohort
Mogadishu Lab & Online
What You'll Learn
A six-week path from core AI concepts to using tools safely on real Somali-context problems.
LLM Fundamentals
Understand how large language models work at a practical level — strengths, limits, and when not to trust the output.
Prompt Engineering & Evaluation
Write, test, and refine prompts. Score outputs against a brief instead of accepting the first answer.
Applied AI Tools
Use current tools for research, writing, and lightweight automation in real workflows.
Ethics & Real-World Use Cases
Bias, privacy, and responsible use — applied to education, community work, and local businesses.
How the Program Works
Short lessons, then you use the tools. Every week ends with something you can show.
Learn
Live sessions that unpack how AI tools actually behave, not marketing slides.
Practice
Guided labs: prompt, evaluate, iterate, and document what worked.
Build
A small applied project each week — research brief, workflow, or demo.
Share
Peer review of prompts and outputs, with mentor feedback on safety and quality.
Program Structure
Four hours a week, with a weekend lab for applied practice.
What AI can and cannot do
Models, training data, hallucination, and evaluation basics
Working with LLMs
Chat interfaces, context windows, and structured prompts
Prompting with intent
Roles, constraints, few-shot examples, and scoring rubrics
Applied research workflows
Summaries, outlines, and source-checking with AI assistance
Lightweight automation
Repeatable prompts and simple tool chains for real tasks
Ethics, safety & demo
Privacy, bias, and presenting your applied project
Program Overview
Duration
6 Weeks · 4 hrs/week
Format
Online & Mogadishu Tech Lab
Schedule
2 live sessions/week
Mentorship
Small-group mentor review
Outcome
Applied AI project you can demo
Who is This For?
- Somali girls and women who want to understand AI without the hype.
- Beginners who use computers daily and want practical, safe tool skills.
- Students and professionals who need to evaluate AI output, not just generate it.
- Anyone ready to attend live labs and finish a short weekly assignment.
Don't just learn. Build.
Leave with documented prompts, an evaluation rubric, and one applied project you can explain.
Prompt library for a real workflow
A set of tested prompts with notes on what failed, what improved, and when a human must check the result.
Assisted research brief
A short brief on a local topic using AI for drafting, with sources checked and hallucinations flagged.
Responsible-use case study
A final presentation of a use case, risks, and a go / no-go recommendation.