For this year’s Deep Learning Indaba, to be held in Senegal this September, we are reaching out to the community to propose and develop practicals focusing on the applications of machine learning and AI. Our hope is that by opening this call to the DLI community we will end up with a selection of the most relevant applications in the context of African AI. Examples of such applications might include, but are not limited to:

  • Geospatial AI, Climate change, African mapping
  • AI for health
  • Robotics
  • AI for good
  • AI on the edge
  • AI for Biology
  • Neuroscience
  • NLP
  • Computer vision
  • Recommender systems
  • AI for Finance

These applied topics practicals will run in addition to several foundational practicals, which will likely cover LLMs, diffusion models, graph neural networks, and probabilistic programming. You would work closely with developers of these practicals, and there is therefore room for skill development across the Indaba, employing some assumed knowledge in the applied practicals.

We expect to have a two-hour slot for each practical. Each practical should make use of the Jax ecosystem. Furthermore, our aim is to translate each practical into French, for which we will recruit translators. Practicals should target a beginner to intermediate level, with a strong focus on being accessible to beginners.

Please note that you do not have to be able to attend the Indaba to lead the development of a practical. That said, the lead developer will be invited, and attendance is strongly encouraged (and fun!).

Important Dates

Our tentative timeline is:

  • Call closes – 12th May
  • Select application topics – 16th May
  • First draft notebooks  – 8 July
  • Reviews – 15 July
  • Finalise English notebooks – 5 August
  • Finalise French notebooks –  19 August

Contact Information

Questions? Send us an email at kira@ / james@ / raoul@


  • Raoul de Charette
  • Kira Düsterwald
  • James Allingham