You've learned how to scale ML pipelines... but can you scale your team? From model-building to release, your AI projects involve a wide variety of roles: data scientists, app developers, test & release engineers... and they all need to work together safely and smoothly. Learn how GitHub combines config-as-code, centrally versioned notebooks, cloud IDEs, and PR-time model evaluation to collaboratively build and deploy ML.