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
(384 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
(384 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 API, Google Cloud Platform, Application Programming Interface (API), Role-Based Access Control (RBAC), Cloud Platforms, Cloud Storage, Identity and Access Management, Cloud Services, 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, Cloud Storage, Serverless Computing, Identity and Access Management, Cloud Services, Virtual Machines, Kubernetes, Prompt Engineering, Application Deployment, Cloud Infrastructure, Containerization, Network Infrastructure, Scalability, Generative AI Agents, Cloud Computing, and Application Development
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
Database Management, Google Cloud Platform, Cloud Management, SQL, Cloud Hosting, Database Administration, and MySQL
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 Import/Export, Relational Databases, Amazon Web Services, Databases, Data Migration, MySQL, and Google Cloud Platform
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
Virtual Private Networks (VPN), Google Cloud Platform, Operational Databases, MySQL, Database Administration, Database Management, and Data Migration
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
Database Management, PostgreSQL, Virtual Private Networks (VPN), Google Cloud Platform, Data Management, Database Administration, and Data Migration
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
SQL, Application Deployment, Google Cloud Platform, PostgreSQL, Containerization, Data Access, Cloud Management, Cloud Applications, Kubernetes, and Databases
What you'll learn
How to secure a Cloud SQL for PostgreSQL instance
Skills you'll gain
Key Management, Identity and Access Management, Cloud Security, Database Management, Authentications, Data Security, PostgreSQL, and Google Cloud Platform
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
Disaster Recovery, Data Maintenance, Relational Databases, Google Cloud Platform, Database Administration, PostgreSQL, and Database Management
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, Cloud API, Database Administration, Dataflow, Database Architecture and Administration, Databases, Data Management, and Google Cloud Platform
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
Relational Databases, Google Cloud Platform, Data Import/Export, Data Management, Database Design, Database Management, Operational Databases, Query Languages, and Database Administration
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
Full-Stack Web Development, Web Applications, Cloud Applications, Application Deployment, Data Import/Export, Development Environment, Google Cloud Platform, Server Side, Back-End Web Development, Database Application, and Node.JS
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), Databases, Cloud Computing, Database Design, Database Architecture and Administration, Enterprise Application Management, Cloud Computing Architecture, and Data Architecture
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, Relational Databases, Transaction Processing, NoSQL, Cloud Applications, Database Management Systems, Data Migration, Generative AI, and Data Store
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,