Supercharge Your ML Models with Vertex AI Feature Store

08 Jul 2025 09:30 AM CST

Free Webinar
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Webinar Overview

This webinar explores how Vertex AI Feature Store helps solve common challenges in enterprise-scale machine learning—such as redundant feature creation, inconsistent data pipelines, and infrastructure bottlenecks. Attendees will learn how Feature Store centralizes feature management, enables real-time low-latency serving, and prevents training-serving skew. Real-world pain points, such as those faced by the XYZ team, are used to illustrate how Feature Store improves accuracy, speeds up model development, and supports governance at scale.

Key Points

Common Challenges in Feature Engineering Workflows
Pain Points: Redundancy, Latency, and Skew
Vertex AI Feature Store Overview and Capabilities
Operational and Governance Advantages
Real-World Outcomes from Feature Store Adoption

Meet The Trainer

Aman Kumar

Multidisciplinary AI and Software Developer, adept in LLM training and optimizing SFT and RLHF workflows for companies like Google and Amazon. Specializes in simplifying AI processes, leading teams, and creating scalable, cloud-integrated products. Committed to inclusive AI and next-gen education.

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