Online MLflow Training in Malaysia

This instructor-led, live training (available online or onsite) is tailored for data scientists who want to move beyond simply building ML models and instead optimise the processes of ML model creation, tracking, and deployment.

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

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