A Database Engineer designs, creates, manages, migrates, and troubleshoots databases used by applications to store and retrieve data. This learning path guides you through a curated collection of on-demand courses, labs, and skill badges that provide you with real-world, hands-on experience using Google Cloud technologies essential to the Database Engineer role. Once you complete the path, check out our catalog for 700+ labs and courses to keep going on your professional journey.
Google Cloud Database Engineer Specialization
Google Cloud Database Engineer Specialization
Advance your cloud career in database engineering
Instructor: Google Cloud Training
Included with 
Get in-depth knowledge of a subject
(385 reviews)
Intermediate level
Recommended experience
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
(385 reviews)
Intermediate level
Recommended experience
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
What you'll learn
Learn the skills needed to be successful in a cloud database engineer role
Prepare for the Professional Cloud Database Engineer certification exam
Learn how to plan, execute, test, and monitor enterprise database migrations to Google Cloud
Migrate and manage Cloud SQL, Cloud Spanner, and Bigtable databases
Overview
Skills you'll gain
What’s included
Shareable certificate
Add to your LinkedIn profile
Taught in English
Recently updated!
June 2025
19 practice exercises
Advance your subject-matter expertise
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from Google Cloud
Specialization - 14 course series
What you'll learn
Learn about the labs platform, and identify key features of a lab environment, and learn how to access the Cloud Console with specific credentials.
Learn about Google Cloud projects, and identify common misconceptions about them. Learn about the API library, and examine its chief features.
Learn how to use the Google Cloud Navigation menu to identify types of Google Cloud services
Learn about primitive roles, and use the Cloud IAM service to inspect actions available to specific users.
Skills you'll gain
Cloud Platforms, Application Programming Interface (API), Cloud Storage, Cloud API, Role-Based Access Control (RBAC), Identity and Access Management, Cloud Services, Google Cloud Platform, and User Accounts
What you'll learn
Identify the purpose and value of Google Cloud products and services.
Define how infrastructure is organized and controlled in Google Cloud
Explain how to create a basic infrastructure in Google Cloud
Select and use Google Cloud storage options
Skills you'll gain
Google Cloud Platform, Serverless Computing, Cloud Storage, Cloud Services, Identity and Access Management, Kubernetes, Cloud Infrastructure, Virtual Machines, Application Deployment, Prompt Engineering, Application Development, Generative AI Agents, Network Infrastructure, Cloud Computing, Containerization, and Scalability
What you'll learn
how to create and connect to a Google Cloud SQL MySQL instance and perform basic SQL operations
Skills you'll gain
MySQL, SQL, Cloud Management, Database Management, Google Cloud Platform, Database Administration, and Cloud Hosting
What you'll learn
Create a profile for a source connection to a cloud-based MySQL instance (e.g. Amazon RDS for MySQL).
Configure connectivity between source and destination instances using an IP allowlist.
Create and run a one-time migration job using Database Migration Service.
Verify that the migration job has completed successfully.
Skills you'll gain
Data Migration, Relational Databases, Data Import/Export, Google Cloud Platform, MySQL, Databases, and Amazon Web Services
What you'll learn
Create a profile for a source connection to a cloud-based MySQL instance (e.g. Amazon RDS for MySQL).
Configure connectivity between source and destination instances using an IP allowlist.
Create and run a one-time migration job using Database Migration Service.
Verify that the migration job has completed successfully.
Skills you'll gain
Data Migration, Database Administration, MySQL, Google Cloud Platform, Virtual Private Networks (VPN), Database Management, and Operational Databases
What you'll learn
How to configure a continuous Database Migration Service job to migrate databases from a PostgreSQL instance to Cloud SQL for PostgreSQL.
Skills you'll gain
Data Management, Database Management, Virtual Private Networks (VPN), PostgreSQL, Google Cloud Platform, Data Migration, and Database Administration
What you'll learn
Configure an application to access a Cloud SQL for PostgreSQL database.
Create a Kubernetes cluster and deploy a simple application to that cluster
Skills you'll gain
Databases, Containerization, SQL, Kubernetes, PostgreSQL, Application Deployment, Cloud Management, Data Access, Cloud Applications, and Google Cloud Platform
What you'll learn
How to secure a Cloud SQL for PostgreSQL instance
Skills you'll gain
PostgreSQL, Google Cloud Platform, Identity and Access Management, Cloud Security, Key Management, Database Management, Authentications, and Data Security
What you'll learn
Enable point-in-time recovery on a Cloud SQL for PostgreSQL instance.
Perform a point-in-time recovery.
Confirm that the recovered database reflects an earlier point in time.
Skills you'll gain
Database Administration, Google Cloud Platform, Disaster Recovery, Database Management, Data Maintenance, PostgreSQL, and Relational Databases
What you'll learn
Insert data with DML
Insert data through a client library
Insert batch data through a client library
Load data using Dataflow. Backup your database
Skills you'll gain
Data Storage Technologies, Data Import/Export, Data Management, Google Cloud Platform, Database Administration, Database Architecture and Administration, Databases, Dataflow, and Cloud API
What you'll learn
Load data into tables. Use pre-defined Python client library code to load data.
Query data with client libraries. Make updates to the database schema.
Add a Secondary Index.
Examine Query plans.
Skills you'll gain
Data Import/Export, Database Design, Data Management, Relational Databases, Database Administration, Operational Databases, Query Languages, Database Management, and Google Cloud Platform
What you'll learn
Configure the Project Environment. Download and inspect the application code.
Deploy Backend application component. Import sample stock trade data to the database.
Deploy Frontend application component.
Perform operations in the OmegaTrade Application.
Skills you'll gain
Data Import/Export, Google Cloud Platform, Server Side, Development Environment, Database Application, Node.JS, Back-End Web Development, Cloud Applications, Application Deployment, Full-Stack Web Development, and Web Applications
What you'll learn
Plan, execute, test, and monitor simple and complex enterprise database migrations to Google Cloud.
Choose an appropriate Google Cloud database, migrate SQL Server databases and run Oracle databases on Google Cloud bare metal.
Recognize and overcome the challenges of moving data to prevent data loss, preserve data integrity, and minimize downtime.
Evaluate on-premises database architectures and plan migrations. Make the business case for moving databases to Google Cloud.
Skills you'll gain
Google Cloud Platform, Data Migration, Microsoft SQL Servers, Oracle Databases, Virtual Machines, Virtual Private Networks (VPN), Data Architecture, Cloud Computing, Cloud Computing Architecture, Database Architecture and Administration, Enterprise Application Management, Databases, and Database Design
What you'll learn
Identify Google Cloud databases commonly used for application development.
Describe common application design patterns and select a Google Cloud database that’s suitable for the characteristics of your application.
Use Cloud SQL, AlloyDB, or Spanner to build gen AI applications.
Skills you'll gain
Databases, Google Cloud Platform, PostgreSQL, Transaction Processing, NoSQL, Relational Databases, Cloud Applications, Data Migration, Database Management Systems, Data Store, and Generative AI
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
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Frequently asked questions
This specialization is designed to be completed in 10 weeks at approximately 5 hours per week.
Experience with database development using SQL, general programming skills, and an understanding of relational and NoSQL database design is helpful in understanding the topics covered.
We strongly recommend you take these courses in order. This is especially important when completing the Qwiklabs activities, as these hands-on labs build upon the work you complete in preceding courses.
More questions
Financial aid available,