🇬🇧 MLx Cases Registration

Location: United Kingdom

MLx Cases registration closes soon, learn about building end-to-end AI systems

MLx Cases is a hands-on, engineering-driven module focused on building end-to-end AI systems in practice. The emphasis is not only on models themselves, but on the surrounding challenges that increasingly matter in real-world ML systems: evaluation, tool use, multi-step behaviour, constraints, and surfacing failure modes early.

Practical case studies include:

• building a CNN for image classification
• building a diffusion model
• building a MiniGPT
• running open-source AI agents
• building AI systems that reason, act, and evolve

Speakers include Davide Eynard, David de la Iglesia Castro, Jialin Yu, Noor Sajid, Sizhe Yuen, Xin Eric Wang, and Peter Gostev.

More information and registration: oxfordml.school

Tags: MLx Cases, OxML 2026, AI systems, machine learning, engineering-driven module, end-to-end AI systems, real-world ML systems, United Kingdom