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💫 Deep Learning Indaba — Tutorials & Skills 2026 💫

Welcome to the Tutorials & Skills 2026 repository. This is the home for all tutorial notebooks and skills-session materials for Indaba 2026.

The repo is organised into two top-level folders:

Folder What goes here
practicals/ Hands-on tutorial notebooks. One folder per tutorial.
skills/ Skills-session materials. One folder per session.

Each session leader owns a single folder under one of these directories and puts all of their material inside it. See CONTRIBUTING.md for the exact folder convention and the contribution workflow.

🗓 Schedule

Times and rooms are provisional and may change — the official programme is the source of truth.

📅 Sunday 02 August — Tutorials (parallel, 2h 30m, 13:30–16:00)

💥 Tutorial 🧑‍🏫 Session leaders 📂 Folder
Introduction to Agentic AI: Building Conversational Agents with Persistent Memory David Agbolade intro-to-agentic-ai
The Math Behind Neural Networks Pelumi Victor, Catherine Essuman math-behind-neural-networks
Building Faster Transformers with Triton: A Hands-On Introduction to GPU Kernel Programming Ayomide Odumakinde, Katherine Oluwadarasimi Olowookere, Adeniyi Mayokun faster-transformers-with-triton
Understanding Model Alignment: Concepts and Practical Steps Michael Mollel, Winnie Mangeni, Innocent Charles understanding-model-alignment

📅 Sunday 02 August — Skills Sessions (parallel, 1h 30m, 16:30–18:00)

🛠 Skills session 🧑‍🏫 Session leaders 📂 Folder
Doing ML Research from the Margins Steven Kolawole ml-research-from-the-margins
Adversarial Thinking in AI Systems: Understanding and Mitigating Real-World Model Failures Manar Hamed adversarial-thinking-in-ai-systems
Building On-Device AI Applications Jesse-Paul Osemeke on-device-ai-applications
Mastering the Scientific Narrative: A Practical Guide to Reading and Writing High-Impact AI Research Papers Castro Gbêmêmali scientific-narrative-reading-writing

📅 Monday 03 August — Tutorials (parallel, 2h 30m, 15:00–17:30)

💥 Tutorial 🧑‍🏫 Session leaders 📂 Folder
The AI Lab Partner: Agents for Biological Discovery Natasha Latysheva, Sebastian Bodenstein, Kyle Taylor, Adam Kosiorek ai-lab-partner-agents-for-biology
Graph Neural Networks: Foundations and Applications for Real-World Networks Nataram Odumo, Nwandu Christian, Godbless James graph-neural-networks
Responsible and Sovereign AI: Fair, Trustworthy, and Context-Aware Machine Learning for Africa Blessing Ogbuokiri responsible-and-sovereign-ai
Beyond the Notebook: Mastering Cloud GPU Infrastructure for Scalable African AI Chisom Chinwuba, Sheriff Issaka, Opemipo Durodola cloud-gpu-infrastructure

Licensed under Apache 2.0 — see LICENSE.

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