MLflow 교육

MLflow 교육

대한민국에서 현지 강사가 진행하는 MLflow 교육 과정.

MLflow코스 개요

코스 이름
Duration
Overview
코스 이름
Duration
Overview
21 시간
Overview
This instructor-led, live training in (online or onsite) is aimed at data scientists who wish to go beyond building ML models and optimize the ML model creation, tracking, and deployment process.

By the end of this training, participants will be able to:

- Install and configure MLflow and related ML libraries and frameworks.
- Appreciate the importance of trackability, reproducability and deployability of an ML model
- Deploy ML models to different public clouds, platforms, or on-premise servers.
- Scale the ML deployment process to accommodate multiple users collaborating on a project.
- Set up a central registry to experiment with, reproduce, and deploy ML models.

향후MLflow 코스

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