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Understanding Vertex AI Batch Prediction for the Professional ML Engineer Exam
Understanding Vertex AI Batch Prediction for the Professional ML Engineer ExamWhen you're building machine learning systems on Google Cloud Platform,... more »
Vertex AI Endpoints: From Model Training to Production
Vertex AI Endpoints: From Model Training to ProductionThe Infrastructure Reality Behind ML ModelsBefore we get into the details of Vertex AI Endpoints, we... more »
BigQuery ML: Exporting Models
BigQuery ML Model Export: Making Your Models Work Beyond the Data WarehouseYou've trained a machine learning model in BigQuery ML using SQL. The model... more »
A Look at Google's New Generative AI Leader Certification
Google Cloud announced the Generative AI Leader certification on May 14, 2025.This foundational-level certification sits alongside the Cloud Digital Leader... more »
Compute Engine VM Location Considerations
Understanding Google Compute Engine (GCE) location options is essential knowledge for the Professional Cloud Architect exam. The decision of where to place your... more »
Compute Engine MIG Autohealing & Automatic Restart
Understanding Google Cloud Platform's (GCP) Compute Engine Managed Instance Groups (MIGs) and their reliability features is essential knowledge for the... more »
Normalization vs. Denormalization in BigQuery
When structuring a database, one of the first decisions you need to make is whether to normalize or denormalize your data. This decision shapes how you... more »
What to Know About Google Cloud Marketplace for the ACE Exam
If you're preparing for the Google Cloud Associate Cloud Engineer (ACE) certification exam, something that you need to know about, which many people... more »
Google Compute Engine Settings: On-Host Maintenance
In the world of cloud computing, the seamless operation of virtual machines (VMs) is paramount. However, underlying this virtual layer is a vast... more »