Local instructor-led live MLflow training courses in Ελλάδα.
MLflow Course Outlines
Course Name
Duration
Overview
Course Name
Duration
Overview
21 hours
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.
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.
Other countries
Consulting
Online MLflow courses, Weekend MLflow courses, Evening MLflow training, MLflow boot camp, MLflow instructor-led, Weekend MLflow training, Evening MLflow courses, MLflow coaching, MLflow instructor, MLflow trainer, MLflow training courses, MLflow classes, MLflow on-site, MLflow private courses, MLflow one on one training
.jpg "international air transport association (iata)")
