top of page
< Back

Building Scalable Machine Learning Pipelines with Virgilio: Model Deployment and Serving

Overview

Skills Needed

Build efficient machine learning pipelines with Virgilio. Learn how to deploy models, serve predictions, and orchestrate complex workflows for scalable AI applications using Virgilio.

  • Basic understanding of machine learning concepts
  • Proficiency in Python programming

Outline

  • Introduction to ML Pipelines
  • Model Deployment Strategies with Virgilio
  • Serving Predictions at Scale
  • Orchestrating ML Workflows
  • Real-time Inference and Batch Processing
  • Managing Model Versions and Dependencies
  • Performance Optimization Techniques
  • Scaling ML Deployments
  • Monitoring and Managing ML Pipelines
  • Best Practices for ML Pipelines with Virgilio
bottom of page