Google Cloud Databases Courses and Certifications

Career Certificate

Google Cloud Database Engineer

49406 ratings at Coursera

Design, migrate and manage databases on Google Cloud: Cloud SQL for MySQL and PostgreSQL, Cloud Spanner schemas and backups, replication, point-in-time recovery and Database Migration Service.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 14 courses

Select a Google Cloud Database for Your Applications

27 ratings at DataCamp

In this course, you learn to analyze and choose the right database for your needs, to effectively develop applications on Google Cloud.

• DataCamp
• 6 hours
• Self-Paced
• Free Trial Available

GCP Databases: Firestore, Datastore, and Cloud SQL

Compare and practice GCP database services by building Firestore collections, querying Datastore, and modeling relational data with Cloud SQL.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Select a Google Cloud Database for Your Applications

Compare relational and NoSQL options on Google Cloud — Cloud SQL, AlloyDB, Spanner, Bigtable, Firestore, Memorystore — and configure Vector Search for generative AI apps.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course

Whizlabs

GCP: Database and Storage

Explore Google Cloud data services: Cloud SQL, Spanner, Bigtable, Firestore and BigQuery, plus Cloud Storage buckets and Dataflow, Dataproc and Dataprep processing pipelines.

• Coursera
• 2 weeks, 4 hours a week
• Self-Paced
• Paid Course

Datastore: Qwik Start

This is a self-paced lab that takes place in the Google Cloud console. This hands-on lab will show you how to store and query data in Google Cloud Datastore using the Google Cloud Platform.

• Coursera
• 30 minutes
• Self-Paced
• Paid Course

SingleStore on Google Cloud

This is a self-paced lab that takes place in the Google Cloud console. Learn how to deploy SingleStore DB, combine it with cloud native products like Pub/Sub, Dataflow and Cloud Storage, and interact with SingleStore once the data is ingested.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Using Memorystore for Redis Read Replicas to Improve Read Performance

In this lab, you will configure a highly available Memorystore cluster and review the architecture of such a deployment.

• Coursera
• 1 hour
• Self-Paced
• Paid Course

Whizlabs Career Certificate

Exam Prep: Google Cloud Professional Cloud Database Engineer

Design, deploy, and operate Google Cloud databases — Cloud SQL, Spanner, AlloyDB, Bigtable, Firestore — covering migration, monitoring, security, and cost optimization for the Professional Cloud Database Engineer exam.

• Coursera
• 12 weeks, 6 hours a week
• Self-Paced
• Paid Course
• 5 courses

Exploring Memorystore for Redis Cluster

Explore Memorystore for Redis Cluster in a hands-on Google Cloud console lab, working through the managed Redis cluster service and its capabilities.

• Coursera
• 1 hour
• Self-Paced
• Paid Course

Google Cloud Professional Cloud Database Engineer

15 ratings at Udemy

Prepare for the GCP Database Engineer exam: Cloud SQL, BigQuery, Spanner, migration strategies, IAM security (Hands-on)

• Udemy
• 6 hours
• Self-Paced
• Paid Course

Whizlabs

Google Cloud SQL: Design, Deploy & Optimize Databases

Design, deploy, and manage relational databases on Google Cloud SQL: configure MySQL, PostgreSQL and SQL Server instances, high availability, backups, secure connectivity, replication, and cost optimization.

• Coursera
• 2 weeks, 4 hours a week
• Self-Paced
• Paid Course

Whizlabs

Google Cloud Firestore: Designing and Managing Databases

Design, deploy, and manage Firestore databases on Google Cloud: capacity planning, high availability, security policies, backup and restore, cost optimization, and Native vs Datastore mode.

• Coursera
• 2 weeks, 3 hours a week
• Self-Paced
• Paid Course

Whizlabs

Google Cloud AlloyDB: Design & Operate Databases

Design, deploy, and manage AlloyDB databases on Google Cloud: plan capacity for HTAP workloads, configure high availability, monitoring, backup and restore, and migration strategies.

• Coursera
• 2 weeks, 3 hours a week
• Self-Paced
• Paid Course

Whizlabs

Google Cloud Bigtable: Designing and Operating Databases

Design, deploy, and operate Google Cloud Bigtable databases: plan capacity, configure high availability and backups, provision instances and clusters, and optimize cost, scaling, and migrations.

• Coursera
• 2 weeks, 3 hours a week
• Self-Paced
• Paid Course