Dwell Mannequin Deployment & Inference Course with Stefan Krawczyk

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Final Up to date on July 29, 2022

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AI & Machine Studying now energy most product experiences even past these of the large expertise corporations. At this time, your fashions should carry out and performance appropriately to in the end ship enterprise worth. The price of deploying a sluggish or dangerous mannequin, or not detecting undesirable habits rapidly, may considerably influence buyer expertise and the enterprise’ backside line.

Stefan Krawczky has spent the final 15+ years engaged on this precise downside at corporations like Sew Repair, Nextdoor, and LinkedIn. He has efficiently streamlined the mannequin ‘productionalization’ course of for a whole bunch of the most effective 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:

  • Study to determine, keep away from, and stop frequent ML outages
  • Evaluation {industry} case research to study frequent approaches for scaling mannequin inference
  • Consider and extrapolate ways from Sew Repair’s manufacturing deployment technique 
  • Talk about the most effective tooling for bettering 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 situations to upskill their MLOps data whereas networking with different top-tier ML professionals. For the reason that course can also be totally accredited, most college students can expense the course utilizing their worker L&D finances. 

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