Illustration of a learner with headphones studying AI on a laptop for the CMU-Africa Certificate in AI for Africa 2027

Want to build real AI skills without paying tuition? Carnegie Mellon University Africa (CMU-Africa) is accepting applications for its Certificate in Artificial Intelligence for Africa. It is a free online programme that takes learners from Python basics to machine learning and generative AI, with a focus on African contexts. The next cohort starts in January 2027, and applications close on 15 November 2026.

Key Facts

Provider: Carnegie Mellon University Africa (Kigali, Rwanda)
Format: 100% online, self-paced lessons
Cost: Free for qualified applicants
Start: January 2027 cohort
Time commitment: At least 5–6 hours per week
Credential: A digital badge for each course and a verifiable certificate when you finish all six
Deadline: 15 November 2026

What You Will Learn

The certificate has six courses in two tracks. Each course has 14–15 lessons of about three hours each, so roughly 45 hours per course.

Perspective and Context Track

Artificial Intelligence: Past, Present and Future: How AI developed, where it stands today and where it is heading
AI and Machine Learning in Africa: Real applications, opportunities and challenges across the continent

Technical Track

Python for AI: The programming foundation for everything else
Mathematical Foundations of Machine Learning: The linear algebra, probability and statistics behind ML models
Machine Learning Essentials: Core algorithms and how to build and evaluate models
Applied Generative AI: Practical use of today’s generative AI tools and models

Benefits

No tuition fees: The programme is free for accepted learners.
Carnegie Mellon quality: Course content comes from one of the world’s top-ranked computer science and engineering universities.
Recognised credentials: Digital badges and a verifiable certificate you can add to your CV and LinkedIn profile.
Learn around your schedule: Online lessons fit alongside work or study.
Africa-focused content: Examples and case studies relevant to the continent.

Note: The certificate does not give university credit.

Eligibility

You are a good fit if you have:

Introductory coursework in linear algebra and in probability and statistics
Some computer programming experience
A laptop or desktop computer and reliable internet access
At least five hours a week to give to the lessons

Places are limited. Enrolment is by invitation, based on your application and available space.

Required Information

Your name and contact details
Your academic background
Your professional experience
Your CV
A short statement of your professional goals

Tips for a Strong Application

Show your maths and coding background clearly. List relevant courses, such as linear algebra and statistics, and any programming work you have done.
Make your goals specific. Explain what you want to build or solve with AI, for example in agriculture, health, finance or education in your community.
Show commitment. The programme needs steady weekly effort, so mention how you will make time for it.
Brush up early. If your Python or maths is rusty, start reviewing now so you can hit the ground running in January.