Explore Our Courses

MLflow

 21 Hours
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.
Read more...

Last Updated:

Testimonials (1)

the ML ecosystem not only MLFlow but Optuna, hyperops, docker , docker-compose

Guillaume GAUTIER - OLEA MEDICAL

Course - MLflow

Upcoming Courses

MLflow

2025-06-18 09:30
21 hours
Online
5208 CHF (Online)

MLflow

2025-07-02 09:30
21 hours
Online
5208 CHF (Online)

MLflow

2025-07-16 09:30
21 hours
Online
5208 CHF (Online)

MLflow

2025-07-30 09:30
21 hours
Online
5208 CHF (Online)

Other regions in Switzerland

Other Countries

These courses are also available in other countries

Consulting

MLflow Consulting
Online MLflow training, Online MLflow training courses, Online Weekend MLflow courses, Online Evening MLflow training, Online MLflow instructor-led, Online MLflow on-site, Online MLflow boot camp, Online MLflow instructor-led, Online Evening MLflow courses, Online MLflow training, Online MLflow classes, Online MLflow coaching, Online MLflow trainer, Online MLflow one on one training, Online MLflow instructor, Online Weekend MLflow training, Online MLflow private courses