TRI AI Teaching

Building the next generation of African AI practitioners.

Teaching is the largest of TRI AI's three divisions. It's structured around four kinds of programmes - long-running cohorts, partner-delivered courses, recurring watch parties, and an invited expert colloquium.

01 - Cohorts

Multi-week, structured.

Long-running programmes that take learners through a structured curriculum end to end.

Cohort programme Application for Cohort 10 closed May 17, 2026

TRI AI Saturdays

A community-led AI study group running cohorts of learners through structured curricula, peer learning, and mentorship.

Explore

9+ cohorts run since 2018

See cohort archive

02 - Courses

Partner-delivered curricula.

Foundational and advanced courses delivered with global partners - free for accepted learners.

AI Foundations w/ Google DeepMind

Google DeepMind: AI Research Foundations

A free, university-level AI curriculum from Google DeepMind, developed with University College London

34 hours 45 minutes · intermediate

Data Science w/ Professor Zico Kolter

Practical Data Science

In partnership with Carnegie Mellon University. Used in cohorts 4, 5, and 6.

~16 weeks · intermediate

Machine Learning w/ nuture.ai

AI Saturdays (AI6)

A community-driven, non-profit global movement to make rigorous AI education free and accessible. Partnership program

16 weeks · beginner

03 - Watch parties

Talks, watched together.

Recurring group viewings of major AI talks and conference proceedings - followed by community discussion.

Watch parties Monthly during conference seasons Virtual

Watch Parties

Group viewings of major AI talks, papers, and conference proceedings - followed by community discussion.

04 - Expert colloquium

An invited speaker series.

Practising AI researchers and engineers presenting their work to the TRI AI community.

Colloquium Quarterly Virtual

Expert Colloquium

An invited speaker series featuring practising AI researchers, engineers, and ethicists.