Machine learning models that work beautifully in notebooks often become nightmares in production. Sound familiar? In this talk, we'll cut through the hype and show you how to transform fragile ML experiments into bulletproof, production-grade systems using Python and Google Cloud's powerful infrastructure.

Forget endless configuration headaches and deployment uncertainty—discover how to orchestrate seamless pipelines that automatically train, validate, deploy, and monitor your models at scale. We'll reveal battle-tested patterns for leveraging Google Cloud services like AI Platform, Cloud Build, and BigQuery to create ML workflows that actually work when it matters most.

Whether you're drowning in technical debt from legacy ML systems or trying to avoid that fate entirely, this session delivers practical, steal-worthy strategies that bridge the gap between "it works on my machine" and rock-solid production deployments. Come learn how to make your ML lifecycle faster, smarter, and infinitely more reliable—because your models deserve better than duct tape and prayer.

Event in collaboration with PyVenice

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Don't let the great ideas fade away after the talk!

🍕🍻 Join us for pizza, beer, and informal conversation where you can share your thoughts.

🇮🇹 Dopo l'intervento non lasciare che le belle idee svaniscano!

🍕🍻 Unisciti a noi per pizza, birra e chiacchiere informali dove potrai condividere le tue impressioni e ascoltare quelle degli altri.

Per prenotazioni e ulteriori informazioni sull’evento, clicca qui.

Dove? 

Ground Control Coworking | Treviso, via Montello 7A