The Deep Learning Indaba 2026 will take place from 2 to 7 August 2026 at Pan-Atlantic University in Lagos, Nigeria.

The event brings together students, researchers, and practitioners from across Africa to strengthen the continent’s machine learning and artificial intelligence community through learning, collaboration, and knowledge exchange.

What to Expect

Talks and tutorials from leading AI researchers and practitioners
Workshops and technical sessions on machine learning and AI
Networking opportunities with researchers, startups, and industry experts
Community discussions focused on growing the African AI ecosystem

Who Should Attend

Students (undergraduate, master's, or PhD) in ML, data science, or AI
Researchers in academia or industry
Professionals and entrepreneurs applying AI in their work
Educators and community builders strengthening AI capacity

The Indaba strives for diversity across countries, backgrounds, gender, and experience levels.

How to Apply

General Delegate
Deadline: 29 March — Two routes available:

Registration Lottery (paid): $350 non-African Industry · $200 African Industry · $200 Faculty · $150 Students. Entry not guaranteed — lottery system used due to high demand.
Financial Aid: No registration fee. Travel and accommodation grants available but competitive. Open to anyone unable to cover costs, regardless of background.

Virtual Indaba
Opening soon — Online access to watch talks, ask questions, and network with other virtual attendees. Registration fees to be announced.

Workshops
Deadline: 20 March — Submit a proposal to host a workshop at the Deep Learning Indaba.

Tutorials
Deadline: 8 March — Submit a proposal to be a speaker at a tutorial or skills session.

African Datasets
Deadline: 20 March — Submit your dataset and present it to the Indaba community.

African Startups
Deadline: 20 March — Submit your startup and present your work to the Indaba community.

Publications
Deadline: 15 April — Submit your paper to the Indaba Publications track and stand a chance to be invited to present your work at the Indaba.

Learn More

Official website:
https://deeplearningindaba.com/2026/