ML/AI is often presented as magic hidden behind frameworks and huge models. In this workshop, we will take the opposite approach: start from first principles and build up the core ideas step by step. We’ll begin with simple models such as linear regression, then move into logits, optimization, and the basic building blocks that make learning possible. Using Elixir, Nx, and Axon, we’ll implement key pieces ourselves so the mechanics of training are not just theoretical, but something you can see and hack on directly. By the end of the session, we will have gone from foundational concepts to a simple neural network capable of classifying images. The workshop is a mix of theory and hands-on coding, with the goal of making neural networks feel understandable, concrete, and buildable rather than mysterious. This workshop is for people who want to understand what “learning” actually means in machine learning, and who enjoy learning by building. Requirements: - Basic programming knowledge - An Elixir development environment installed - Nx and Axon setup instructions will be provided - No prior machine learning background required

You can register for workshops for free. Please only register if you intend to attend the workshop. We have limited capacity.