After doing these courses, I feel confident creating professional visualizations and dashboards
Shoebur RahmanProcurement Specialist, Giz Bangladesh
Course Description
In this course, you learn to analyze and choose the right database for your needs, to effectively develop applications on Google Cloud. You explore relational and NoSQL databases, dive into Cloud SQL, AlloyDB, and Spanner, and learn how to align database strengths with your application requirements, including those of generative AI. Gain hands-on experience configuring Vector Search and migrating applications to the cloud.
Prerequisites
There are no prerequisites for this course
Curriculum
Course outline
1
Introduction
This section welcomes learners to the Select a Google Cloud Database for Your Applications course, and provides an overview of the course structure and goals.
2
Google Cloud database solutions for developing applications
This section introduces Google Cloud databases commonly used for application development. It explains the similarities and differences between relational and NoSQL databases and lists common use cases for Cloud SQL, AlloyDB, Spanner, Bigtable, Firestore, and Memorystore.
3
Which database is right for your application?
This section explores database requirements and considerations for different applications, including generative AI applications. It also explains the process for database selection and describes how to align Google Cloud database strengths with application needs.
4
Build generative AI apps with Google Cloud databases
This section provides hands-on practice configuring Vector Search. You have the opportunity to configure Vector Search in the database of your choosing: AlloyDB, Cloud SQL, or Spanner.
R
Select a Google Cloud Database for Your Applications
Course
Complete
