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Final Up to date on July 29, 2022
Sponsored Put up
AI & Machine Studying now energy most product experiences even past these of the large expertise corporations. Right now, your fashions should carry out and performance appropriately to finally ship enterprise worth. The price of deploying a gradual or unhealthy mannequin, or not detecting undesirable habits shortly, may considerably impression buyer expertise and the enterprise’ backside line.
Stefan Krawczky has spent the final 15+ years engaged on this precise drawback at corporations like Sew Repair, Nextdoor, and LinkedIn. He has efficiently streamlined the mannequin ‘productionalization’ course of for tons of of the very best knowledge scientists and machine studying engineers. He has additionally constructed and managed the infrastructure to create, deploy, and observe tens of hundreds of fashions utilizing MLOps greatest practices.
Over the course of 4 2-hr classes with Stefan and different high ML professionals, you’ll:
- Be taught to determine, keep away from, and forestall widespread ML outages
- Evaluation {industry} case research to study widespread approaches for scaling mannequin inference
- Consider and extrapolate ways from Sew Repair’s manufacturing deployment technique
- Talk about the very best tooling for enhancing mannequin observability
Plus, in contrast to different on-line platforms, these classes on Sphere will give college students the distinctive alternative to work straight with Stefan on industry-specific eventualities to upskill their MLOps information whereas networking with different top-tier ML professionals. Because the course can also be absolutely accredited, most college students can expense the course utilizing their worker L&D price range.
Signal as much as Grasp Mannequin Deployment & Inference at present
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