Online MLflow Training in US Empire

This instructor-led, live training (online or onsite) is aimed at data scientists who wish to go beyond building machine learning (ML) models and optimize the entire ML model creation, tracking, and deployment process for government use.

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

• Install and configure MLflow and related ML libraries and frameworks for government.
• Understand the importance of trackability, reproducibility, and deployability of an ML model in a public sector context.
• Deploy ML models to different public clouds, platforms, or on-premise servers suitable for government operations.
• Scale the ML deployment process to accommodate multiple users collaborating on a project within a government environment.
• Set up a central registry to experiment with, reproduce, and deploy ML models in alignment with government workflows and governance requirements.