Manage AutoML Models Like a Pro - Version Control & Lifecycle Best Practices

07 Jul 2025 01:30 AM CST

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Webinar Overview

Learn how to effectively manage the lifecycle of your AutoML models on Google Cloud with version control best practices. Understand how to track, update, and deploy models reliably across environments. Ideal for ML engineers, data scientists, and teams scaling their ML workflows in production.

Key Points

Model Versioning in Vertex AI: Concepts and Implementation
Managing Model Lifecycle: From Training to Deployment and Retirement
Tracking Changes and Comparing Model Performance Over Time
CI/CD Best Practices for AutoML Model Updates and Rollbacks

Meet The Trainer

Gauri Praveen Yadav

A seasoned Google Cloud Trainer specializing in cloud security, IAM, Kubernetes, and serverless computing, dedicated to simplifying GCP with hands-on workshops and use cases. Experienced in designing secure cloud solutions and enabling professionals to implement GCP best practices, they also actively speak and mentor in the field.

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