GCP Study Hub
Courses on Google Cloud, data, and AI.
Vertex AI - Monitoring for Multiple Models (Professional ML Engineer prep)
Vertex AI Experiments (Professional ML Engineer certification course)
Cloud Build - Cross Project Deployment (Professional ML Engineer prep)
BigQuery ML - Retraining (Professional ML Engineer Exam Course)
Interactive Google Cloud labs are now live
Publishing and subscribing to messages on Cloud Pub/Sub (hands-on lab)
BigQuery Basics lab walkthrough
Cloud Storage Basics (hands-on Google Cloud lab)
BigLake - Granular Security Policies (PDE prep)
Cloud Pub/Sub - Common Architectures (PCA prep)
BigQuery - Normalization and Denormalization (Professional Cloud Architect prep)
Cloud Secret Manager (Professional Cloud Architect course)
Cloud Endpoints (Professional Cloud Architect course)
Vertex AI & Explainable AI (Professional Cloud Architect prep)
Cloud Storage - Cross Origin Resource Sharing (CORS) (PCA prep)
Dataproc vs Dataflow
Data Loss Prevention API - Data Protection Methods (PCA course)
Dataflow - Out of Order Data (Professional Cloud Architect prep)
Cloud NAT (Professional Cloud Architect prep)
Cloud VPN - Multi region configurations (Professional Cloud Architect prep)
Cloud Storage - Integration with Cloud CDN (Professional Cloud Architect prep)
App Engine - Memcache (Professional Cloud Architect)
Cloud VPC - Private Service Connect
Cloud Memorystore - Memcached and Redis
Cloud Composer - Architecture
Dataflow - Windows
Data Catalog - Tagging
BigQuery - Backing up data
Bigtable - Schema and Row Key Design
BigQuery - Referential Integrity